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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. 8803
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, particularly related to sports and media

    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
    Not in Any Lists

    No Comments

    Negative Logits
     disg
    -0.69
     pseudonym
    -0.65
     .)
    -0.62
     firsthand
    -0.61
     patent
    -0.60
    ancial
    -0.58
    quartered
    -0.57
     disclosing
    -0.56
    essage
    -0.56
     circumcised
    -0.55
    POSITIVE LOGITS
    %:
    1.16
    :
    1.14
    ?:
    1.06
    ":
    1.05
    *:
    1.03
    ':
    1.03
     :
    1.00
    ":{"
    0.99
    \":
    0.98
    !:
    0.98
    Activations Density 0.387%

    No Known Activations