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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. 23872
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    INDEX
    Explanations

    phrases indicating a level of interest or engagement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the audience's identity or membership in a group

    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
    ggles
    -0.77
    \/\/
    -0.70
    ],[
    -0.68
    negie
    -0.67
    "},
    -0.67
    izable
    -0.67
    izations
    -0.64
    pedia
    -0.63
    ancial
    -0.62
    ises
    -0.62
    POSITIVE LOGITS
     wondering
    1.38
     interested
    1.23
     unsure
    1.17
     lucky
    1.11
     looking
    1.10
     unlucky
    1.10
     unfamiliar
    1.09
     worried
    1.07
     curious
    1.06
     contemplating
    1.04
    Activations Density 0.100%

    No Known Activations