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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. 16221
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    Explanations

    numerical values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements

    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
    bara
    -0.83
    board
    -0.81
    stro
    -0.77
    arching
    -0.75
    say
    -0.73
    drawn
    -0.72
    igans
    -0.71
    wind
    -0.70
    agan
    -0.70
    anooga
    -0.69
    POSITIVE LOGITS
    ãĥķ
    0.86
    MQ
    0.82
    ãĥ´ãĤ¡
    0.81
    652
    0.79
    354
    0.78
    692
    0.78
    994
    0.78
    ãĤ´ãĥ³
    0.78
     MHz
    0.77
    288
    0.76
    Activations Density 0.058%

    No Known Activations