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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 13470
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    Explanations

    phrases related to statements or claims made by people

    oai_token-act-pair · gpt-3.5-turbo

    claims and statements that involve controversy or allegations

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

    No Comments

    Negative Logits
    pace
    -1.05
    everal
    -0.91
    paces
    -0.86
    ockets
    -0.85
    ighting
    -0.83
    cale
    -0.83
    ynski
    -0.83
    ometimes
    -0.81
    poons
    -0.80
    ilver
    -0.80
    POSITIVE LOGITS
    naire
    0.89
    athon
    0.87
    ously
    0.86
    ariat
    0.86
    lessly
    0.83
    aires
    0.80
     reel
    0.79
    lessness
    0.77
    ishment
    0.76
    less
    0.76
    Activations Density 0.237%

    No Known Activations