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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. 11-RES-JB
    11. 1283
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    Explanations

    instances of expressions related to judgment or evaluation, such as "best," "poor solution," or "modest at best."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of evaluation or judgment regarding situations or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recess
    -0.64
     frenzy
    -0.62
     tyr
    -0.60
     stret
    -0.57
     salute
    -0.56
     broom
    -0.56
     plank
    -0.56
     unlaw
    -0.55
     pledge
    -0.55
     suspended
    -0.55
    POSITIVE LOGITS
    because
    1.01
    due
    0.93
     because
    0.93
     compared
    0.92
     due
    0.92
     considering
    0.90
    unless
    0.88
    but
    0.86
     owing
    0.86
    since
    0.83
    Activations Density 0.235%

    No Known Activations