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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. 9-RES-JB
    11. 5049
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    capital letters or proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unsupported
    -0.68
     SHARES
    -0.66
     embell
    -0.65
     FIN
    -0.64
     given
    -0.64
     STATE
    -0.62
     fib
    -0.60
     Bosnia
    -0.60
    ................................................................
    -0.59
    urther
    -0.59
    POSITIVE LOGITS
    td
    0.84
    yne
    0.79
    tics
    0.76
    tarians
    0.73
    arge
    0.73
    TY
    0.72
    KO
    0.72
    tg
    0.72
    tarian
    0.71
    GBT
    0.71
    Activations Density 0.111%

    No Known Activations