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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. 6-RES-JB
    11. 11818
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    INDEX
    Explanations

    instances of the word "compelling."

    oai_token-act-pair · gpt-3.5-turbo

    references to engaging or persuasive content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hops
    -0.89
    pez
    -0.84
    hop
    -0.80
    sterdam
    -0.77
    atel
    -0.71
    alde
    -0.65
    ource
    -0.64
    pec
    -0.64
     Sloan
    -0.63
    abad
    -0.60
    POSITIVE LOGITS
    ly
    1.05
    ingly
    1.00
    NESS
    0.84
    LY
    0.83
    ively
    0.82
    enough
    0.79
     enough
    0.79
    ments
    0.76
    ibly
    0.76
    reason
    0.76
    Activations Density 0.028%

    No Known Activations