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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. 9551
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    Explanations

    numeral combinations followed by unit symbols representing weight

    oai_token-act-pair · gpt-3.5-turbo

    measurements of weight, specifically in pounds and kilograms

    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
    bucks
    -0.71
    itual
    -0.68
    protected
    -0.67
     Bubble
    -0.65
     Emin
    -0.64
     Aval
    -0.64
     Candy
    -0.63
     Gutenberg
    -0.62
     Solitaire
    -0.61
    hunt
    -0.60
    POSITIVE LOGITS
    lbs
    0.96
     lbs
    0.86
    lb
    0.78
    \\\\\\\\
    0.72
    âĶĢâĶĢâĶĢâĶĢ
    0.71
    awan
    0.71
     gorilla
    0.71
    vl
    0.70
     destro
    0.70
    heed
    0.69
    Activations Density 0.005%

    No Known Activations