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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. 6323
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    INDEX
    Explanations

    chronological lists or rundowns of items or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to structured information such as lists, summaries, and breakdowns

    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
    aughs
    -0.66
     Cups
    -0.65
    onds
    -0.61
    ibles
    -0.60
     occupants
    -0.59
     Drift
    -0.58
    anes
    -0.58
     disruptions
    -0.57
    yss
    -0.56
    redd
    -0.56
    POSITIVE LOGITS
     detailing
    1.19
     outlining
    1.19
     illustrating
    1.17
     summar
    1.10
     explaining
    1.10
     of
    1.10
     thereof
    1.08
     showcasing
    1.06
     listing
    1.05
     documenting
    1.04
    Activations Density 0.204%

    No Known Activations