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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. 18013
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    various mentions of updates or revisions in 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
    ardless
    -0.82
    esm
    -0.73
    Js
    -0.73
    ohm
    -0.73
    rarily
    -0.72
    vernment
    -0.68
    gravity
    -0.68
    ankind
    -0.67
    plin
    -0.66
    apesh
    -0.65
    POSITIVE LOGITS
     Coverage
    0.74
    daily
    0.67
     Date
    0.67
     Mara
    0.67
     Dates
    0.66
     Equ
    0.65
     VERS
    0.64
     Effective
    0.64
    irement
    0.64
     version
    0.63
    Activations Density 0.021%

    No Known Activations