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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. 6-RES-JB
    11. 12798
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    Explanations

    words related to technology, including specific terms like "Blockchain" and "executables."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant cultural or societal concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.99
    ]."
    -0.97
    ."[
    -0.87
     ."
    -0.87
    ."
    -0.86
    '."
    -0.82
    .'"
    -0.81
    ".[
    -0.81
    !".
    -0.79
    .""
    -0.78
    POSITIVE LOGITS
    latable
    0.64
    odore
    0.62
    imester
    0.59
    ggles
    0.56
    erenn
    0.56
     BI
    0.56
    lda
    0.55
    romy
    0.55
    endor
    0.53
    emale
    0.51
    Activations Density 1.634%

    No Known Activations