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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. 2-RES-JB
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    Explanations

    mentions of the publication "Rolling Stone."

    oai_token-act-pair · gpt-3.5-turbo

    references to the publication "Rolling Stone."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    pering
    -0.75
    xual
    -0.74
    rians
    -0.73
    unal
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    chenko
    -0.71
    lessly
    -0.70
    ILE
    -0.70
    ¿½
    -0.70
    pron
    -0.69
    lde
    -0.69
    POSITIVE LOGITS
     Rolling
    1.27
     Stones
    0.88
     Papers
    0.81
     boulder
    0.76
    Roll
    0.72
     Shoes
    0.70
    lass
    0.70
    pool
    0.67
     Tide
    0.65
     resil
    0.65
    Activations Density 0.010%

    No Known Activations