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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. 0-RES-JB
    11. 6765
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    Explanations

    specific details or information in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific information or details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ende
    -0.76
    asse
    -0.71
    asion
    -0.64
    iral
    -0.62
    CHA
    -0.62
    hare
    -0.61
    owered
    -0.61
    unin
    -0.60
    LL
    -0.60
     deaf
    -0.60
    POSITIVE LOGITS
     details
    3.70
     specifics
    2.58
     detail
    2.50
     particulars
    2.46
     Details
    2.42
    details
    2.40
    Details
    2.24
    detail
    1.77
     detailed
    1.70
     nuances
    1.63
    Activations Density 0.019%

    No Known Activations