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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. 4685
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal regulations and legislation

    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
     enthusi
    -0.78
    izoph
    -0.72
    ħĭ
    -0.67
     hemor
    -0.66
     enthus
    -0.66
     cumbers
    -0.64
     gobl
    -0.64
     livest
    -0.64
     sap
    -0.64
    plings
    -0.63
    POSITIVE LOGITS
    yers
    1.25
    yer
    1.17
    suit
    1.12
    ski
    1.08
    suits
    1.05
    lessness
    0.97
    iard
    0.91
    makers
    0.91
    laws
    0.88
    eer
    0.87
    Activations Density 0.014%

    No Known Activations