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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. 21225
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    Explanations

    mentions of specific names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and entities associated with specific actions or events

    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
    algia
    -0.80
     advis
    -0.77
    ichick
    -0.71
    eming
    -0.70
    mot
    -0.70
    ensation
    -0.69
    atten
    -0.68
    mith
    -0.68
    emonic
    -0.67
    sent
    -0.67
    POSITIVE LOGITS
    inez
    0.90
    enhagen
    0.80
     Garfield
    0.79
     Archer
    0.74
    balls
    0.73
    ACY
    0.73
    cheon
    0.72
    ERY
    0.70
    edience
    0.69
     darts
    0.66
    Activations Density 0.020%

    No Known Activations