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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 13923
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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
    hur
    -0.81
    okia
    -0.77
    mercial
    -0.73
    ãĤŃ
    -0.71
    issance
    -0.69
    alam
    -0.66
     Liberties
    -0.62
    obiles
    -0.62
    Jenn
    -0.61
    clip
    -0.60
    POSITIVE LOGITS
    uple
    0.83
     tiers
    0.79
    arity
    0.75
     tier
    0.74
    neys
    0.73
    rait
    0.69
     guiActiveUnfocused
    0.66
    ney
    0.65
    anza
    0.65
     VIII
    0.65
    Activations Density 0.038%

    No Known Activations