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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. 14310
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    Explanations

    terminology or concepts that are well-known or recognized

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to commonly accepted terms or concepts

    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
    otion
    -0.82
    plet
    -0.76
    onde
    -0.74
    rentice
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    Ħ¢
    -0.70
    olicy
    -0.69
    retty
    -0.67
    aredevil
    -0.65
    ocaly
    -0.64
    ument
    -0.64
    POSITIVE LOGITS
    л
    0.84
    ledged
    0.82
     aliases
    0.77
    cut
    0.74
     anecd
    0.74
     Known
    0.72
     abbrevi
    0.70
     abbre
    0.70
    abouts
    0.68
     collectively
    0.67
    Activations Density 0.049%

    No Known Activations