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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. 10-RES-JB
    11. 6089
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    Explanations

    information related to incidents, often negative or concerning events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific incidents or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.92
    bern
    -0.74
    azy
    -0.73
    artisan
    -0.70
    oliberal
    -0.69
    sonian
    -0.69
    achev
    -0.68
    enfranch
    -0.67
    ularity
    -0.66
    heit
    -0.65
    POSITIVE LOGITS
     involving
    1.25
     occurred
    1.04
     occurring
    1.04
     happened
    0.94
     unfolded
    0.94
    uated
    0.94
    uation
    0.94
     unfolding
    0.92
    uality
    0.92
    uates
    0.92
    Activations Density 0.045%

    No Known Activations