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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. 7-RES-JB
    11. 4838
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     toget
    -0.76
     pellets
    -0.69
     travers
    -0.69
     concentrating
    -0.67
     exerc
    -0.66
     glac
    -0.65
     manif
    -0.63
     bould
    -0.62
     stewards
    -0.61
     fert
    -0.61
    POSITIVE LOGITS
     Advertisement
    0.92
    MORE
    0.86
    Correction
    0.82
    COR
    0.82
     Expand
    0.80
    Plot
    0.79
    Trade
    0.78
    Names
    0.77
    CM
    0.76
    Previous
    0.76
    Activations Density 0.093%

    No Known Activations