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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. 3-RES-JB
    11. 18572
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    INDEX
    Explanations

    strong verbs related to action or performance

    oai_token-act-pair · gpt-3.5-turbo

    references to theatrical or cinematic performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.74
    yip
    -0.69
    xual
    -0.68
     Flavoring
    -0.67
    lake
    -0.65
    Ń·
    -0.64
    nda
    -0.64
    uyomi
    -0.63
    etheless
    -0.63
     Klux
    -0.63
    POSITIVE LOGITS
    uary
    1.02
    uate
    0.92
    uated
    0.92
    ional
    0.84
    Pub
    0.83
    ual
    0.80
    uation
    0.80
    uating
    0.79
    units
    0.79
    ively
    0.77
    Activations Density 0.019%

    No Known Activations