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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
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    Explanations

    mentions of the term "Rolling Stone" magazine

    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 @ 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
    xual
    -0.82
    pering
    -0.80
    lessly
    -0.80
    ILE
    -0.77
    unal
    -0.76
    xus
    -0.75
    orial
    -0.75
    iour
    -0.72
    seeing
    -0.72
    ilial
    -0.72
    POSITIVE LOGITS
     Rolling
    1.14
     Papers
    0.89
     Stones
    0.84
    pool
    0.81
    bottom
    0.75
    Roll
    0.74
     Jub
    0.74
     Shoes
    0.74
     boulder
    0.72
     Tide
    0.71
    Activations Density 0.010%

    No Known Activations