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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 41
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    Explanations

    Sequences of related terms, often categories or options, separated by slashes. These frequently represent choices, versions, or specifications within a system or context.

    eleuther_acts_top20 · gemini-1.5-flashTriggered by @aserino3

    specific technical terms and numbers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications, sizes, and various forms of media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographers
    -0.64
     braking
    -0.64
     scrut
    -0.63
     Woods
    -0.61
     sworn
    -0.61
     Prescott
    -0.60
    displayText
    -0.60
    urtles
    -0.56
    DonaldTrump
    -0.55
    matically
    -0.55
    POSITIVE LOGITS
    /,
    1.19
     combo
    1.08
     Ratio
    1.05
     ratio
    1.05
    /)
    1.00
    /?
    0.97
    /-
    0.96
    /
    0.93
    /+
    0.91
    /"
    0.90
    Activations Density 0.144%

    No Known Activations