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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. 6-RES-JB
    11. 10965
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stocks
    -0.70
    atown
    -0.68
    ranch
    -0.68
    erest
    -0.67
    hirt
    -0.66
    afer
    -0.65
     veil
    -0.64
    doms
    -0.64
     unres
    -0.62
     Matters
    -0.62
    POSITIVE LOGITS
     rainfall
    0.79
     recorded
    0.74
     consecutive
    0.70
     deeds
    0.70
    recorded
    0.68
    record
    0.67
     FIR
    0.64
     Keeper
    0.63
     playback
    0.62
    breaking
    0.62
    Activations Density 0.175%

    No Known Activations