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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. 8-RES-JB
    11. 4948
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    Explanations

    comparisons related to performance, impact, or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    references to the ineffectiveness or insufficiency of systems or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fever
    -0.71
    urated
    -0.65
     Mastery
    -0.64
    jected
    -0.63
    raltar
    -0.62
     Ticket
    -0.62
     Heard
    -0.62
    ãĤ¦ãĤ¹
    -0.62
     defeated
    -0.61
    opened
    -0.60
    POSITIVE LOGITS
     homework
    0.85
     grunt
    0.85
     harm
    0.85
     outreach
    0.79
     chores
    0.77
     bidding
    0.76
     justice
    0.75
     deed
    0.74
     work
    0.73
     thing
    0.73
    Activations Density 0.181%

    No Known Activations