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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. 11-RES-JB
    11. 22076
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of significant legal or political actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢ
    -0.84
    ®,
    -0.80
    Âł
    -0.75
     Whilst
    -0.74
     ãĥ
    -0.71
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.71
    *)
    -0.71
     ðŁ
    -0.70
    ³³³³
    -0.70
    ãĢ
    -0.70
    POSITIVE LOGITS
    .]
    0.89
    .''.
    0.87
    .
    0.77
    .).
    0.77
    .'"
    0.74
    .[
    0.73
    ."
    0.67
    .)
    0.67
    ]."
    0.65
    ."[
    0.62
    Activations Density 1.305%

    No Known Activations