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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. 10-RES-JB
    11. 8478
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    Explanations

    phrases expressing encouragement or positive attitude

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amount
    -0.74
    ibrary
    -0.71
     corrid
    -0.71
    worth
    -0.70
    Upgrade
    -0.69
    iliated
    -0.68
    requisite
    -0.68
     viability
    -0.67
    profits
    -0.67
    staking
    -0.66
    POSITIVE LOGITS
     guys
    1.27
     Mister
    1.17
     mate
    1.17
     buddy
    1.16
     boys
    1.16
     gentlemen
    1.15
     ladies
    1.15
     sir
    1.15
     dear
    1.12
     babe
    1.11
    Activations Density 0.239%

    No Known Activations