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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. 17559
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    Explanations

    terms related to hierarchical ranking or grading

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific type of rating or classification

    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
     independ
    -0.63
     aggrav
    -0.61
     bere
    -0.61
     unpre
    -0.58
     cous
    -0.58
     moder
    -0.58
     incred
    -0.56
     Proc
    -0.56
    inen
    -0.55
     adjourn
    -0.55
    POSITIVE LOGITS
    shaped
    1.32
    series
    1.08
    Day
    0.98
    word
    0.95
    Series
    0.95
    Spot
    0.93
    bomb
    0.93
    sized
    0.92
    level
    0.90
    Rex
    0.90
    Activations Density 0.054%

    No Known Activations