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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. 5365
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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 @ 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
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    Negative Logits
    players
    -0.76
     guys
    -0.69
    operator
    -0.66
     players
    -0.64
    士
    -0.64
    acists
    -0.62
     neighbour
    -0.61
    player
    -0.61
    keeper
    -0.60
     neighbor
    -0.60
    POSITIVE LOGITS
     whom
    1.10
    bda
    0.69
     tales
    0.69
    who
    0.69
     surname
    0.66
     overseeing
    0.65
     LinkedIn
    0.63
    Documents
    0.62
     fame
    0.61
     pione
    0.60
    Activations Density 1.064%

    No Known Activations