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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. 0-RES-JB
    11. 20015
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    icho
    -0.71
    omb
    -0.70
    UGC
    -0.68
    arlane
    -0.67
    ocation
    -0.66
    iatus
    -0.66
    Cand
    -0.66
    ¥µ
    -0.65
    rupal
    -0.65
    ĨĴ
    -0.63
    POSITIVE LOGITS
     Haf
    0.66
    ournal
    0.65
     Ary
    0.64
     Mesa
    0.64
     barking
    0.63
     FANT
    0.63
     compr
    0.63
    risome
    0.61
    essen
    0.60
     Ari
    0.59
    Activations Density 0.000%

    No Known Activations