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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. 6-RES-JB
    6. 10036
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    Explanations

    sentences describing hypothetical situations or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    discussions about potential outcomes and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.70
    è¦ļéĨĴ
    -0.66
    cius
    -0.65
    quart
    -0.64
    maxwell
    -0.62
    uitive
    -0.60
    =~=~
    -0.59
    istered
    -0.58
    tymology
    -0.58
    acca
    -0.58
    POSITIVE LOGITS
     someday
    0.98
    enance
    0.86
     sooner
    0.81
     anytime
    0.78
    fall
    0.78
     tomorrow
    0.76
    wall
    0.73
    ief
    0.69
     hereafter
    0.68
    enge
    0.68
    Activations Density 0.483%

    No Known Activations