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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. 1-RES-JB
    11. 953
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    Explanations

    the word "zero" followed by a numerical value, emphasizing instances where something is at or close to zero in quantity or value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "zero."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.96
    ournals
    -0.89
    ournal
    -0.76
    thus
    -0.74
    agate
    -0.74
    uv
    -0.74
    voy
    -0.73
    hemat
    -0.71
    rough
    -0.71
    comes
    -0.70
    POSITIVE LOGITS
     zero
    1.08
    zero
    0.95
     Hedge
    0.73
     Escape
    0.70
     accident
    0.69
     amount
    0.68
     sum
    0.67
     tolerance
    0.67
     Zero
    0.67
    lessly
    0.65
    Activations Density 0.009%

    No Known Activations