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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. 4-RES-JB
    11. 17036
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    INDEX
    Explanations

    phrases related to successful or popular events or phenomena, including blockbusters

    oai_token-act-pair · gpt-3.5-turbo

    references to blockbuster films and related topics

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

    No Comments

    Negative Logits
    rique
    -0.83
    lessness
    -0.82
    İĭ
    -0.81
    Ĵ
    -0.73
    ħ
    -0.73
    legate
    -0.71
    ©¶æ
    -0.70
    cius
    -0.70
    gemony
    -0.70
    abet
    -0.69
    POSITIVE LOGITS
     blockbuster
    1.04
     hits
    0.84
     smash
    0.78
     Flavoring
    0.77
    atform
    0.73
     deals
    0.73
     signings
    0.71
     headlines
    0.70
     awards
    0.69
     announcements
    0.68
    Activations Density 0.019%

    No Known Activations