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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. 6343
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    Explanations

    words related to perseverance and resilience

    oai_token-act-pair · gpt-3.5-turbo

    terms related to severity and fairness

    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
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    Negative Logits
    ions
    -0.79
    inosaur
    -0.70
    ovan
    -0.70
     Hots
    -0.69
     Cosponsors
    -0.68
    nikov
    -0.68
    ION
    -0.67
    oan
    -0.67
    ovie
    -0.67
     Benny
    -0.67
    POSITIVE LOGITS
    vere
    0.99
    ignty
    0.99
    ignt
    0.97
    xp
    0.86
    ctors
    0.82
    ¯¯
    0.79
    ternity
    0.78
    ldom
    0.77
    lyn
    0.76
    uth
    0.75
    Activations Density 0.028%

    No Known Activations