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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. 19934
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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 @ 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
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    Negative Logits
     answ
    -0.75
    tel
    -0.70
    puter
    -0.70
    arus
    -0.65
    ĸļ
    -0.64
    reth
    -0.64
     ende
    -0.63
    resy
    -0.63
    İĭ
    -0.63
     oun
    -0.63
    POSITIVE LOGITS
    ãĥİ
    0.79
    interest
    0.70
    âĢ¦)
    0.68
    âķ
    0.65
    Limit
    0.64
    selves
    0.63
    }.
    0.60
     Malf
    0.60
    76561
    0.59
    thumbnails
    0.56
    Activations Density 0.149%

    No Known Activations