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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. 4155
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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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    No Comments

    Negative Logits
    asar
    -0.73
    different
    -0.71
    ppard
    -0.69
    âĹ¼
    -0.67
    Reloaded
    -0.67
    ãģĦ
    -0.66
    åĭ
    -0.66
    åĬ
    -0.65
    ById
    -0.65
    ochond
    -0.65
    POSITIVE LOGITS
    !
    0.91
    !!
    0.91
     Requires
    0.88
    ↵↵
    0.88
    !!!
    0.88
    <|endoftext|>
    0.85
    ↵
    0.85
     unless
    0.84
    ;
    0.84
    .;
    0.83
    Activations Density 0.291%

    No Known Activations