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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. 0-RES-JB
    11. 4964
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    INDEX
    Explanations

    positive words related to personal growth or achievement

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to liberation and inspiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pta
    -0.68
    orem
    -0.65
    imeters
    -0.59
    prise
    -0.59
    cats
    -0.58
    ings
    -0.58
    fare
    -0.58
    ysis
    -0.57
    ments
    -0.57
    eb
    -0.57
    POSITIVE LOGITS
     rewarding
    2.17
     liberating
    2.07
     empowering
    1.95
     satisfying
    1.93
     stimulating
    1.93
     inspiring
    1.91
     reassuring
    1.84
     motivating
    1.84
     exhausting
    1.84
     comforting
    1.82
    Activations Density 0.060%

    No Known Activations