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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. 2609
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    Explanations

    terms related to self-improvement and self-sufficiency

    oai_token-act-pair · gpt-3.5-turbo

    terms related to self-reference and self-descriptive concepts

    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
    sea
    -0.69
    STD
    -0.68
    QUI
    -0.65
    ushi
    -0.64
    quet
    -0.64
    ington
    -0.64
    KEY
    -0.64
    SSL
    -0.64
    netflix
    -0.63
    apest
    -0.63
    POSITIVE LOGITS
    ciating
    0.70
     strategist
    0.64
     Maced
    0.64
     gratification
    0.63
     attribution
    0.62
     Morty
    0.62
    ihilation
    0.61
    ilus
    0.61
    rency
    0.61
    issance
    0.60
    Activations Density 0.056%

    No Known Activations