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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. 7-RES-JB
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mosp
    -0.67
    ochond
    -0.65
    icrobial
    -0.63
    ortment
    -0.60
    rosso
    -0.60
    azar
    -0.58
    guyen
    -0.58
    las
    -0.58
    eries
    -0.57
    arlane
    -0.56
    POSITIVE LOGITS
     unless
    0.78
     anyway
    0.75
    .ãĢį
    0.73
     punishable
    0.71
     everywhere
    0.70
    !",
    0.70
     regardless
    0.70
     without
    0.70
    .''
    0.69
     anymore
    0.69
    Activations Density 0.238%

    No Known Activations