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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. 5896
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or partial words that often precede significant nouns or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
    FUL
    -0.84
    stellar
    -0.81
    Ô
    -0.72
     Presbyterian
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     spiritually
    -0.68
    historic
    -0.68
     Bohem
    -0.67
    aceous
    -0.66
    iscopal
    -0.64
    £ı
    -0.63
    POSITIVE LOGITS
    glers
    1.12
    angers
    0.98
    arers
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    aunts
    0.94
    iencies
    0.94
    akers
    0.94
    appings
    0.93
    rors
    0.92
    asers
    0.91
    amps
    0.90
    Activations Density 0.295%

    No Known Activations