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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. 9650
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    Explanations

    mentions of the term "Chrom" with varying numbers at the end

    oai_token-act-pair · gpt-3.5-turbo

    references to "Chromecast" and its related technologies

    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
    ulton
    -0.73
    WARD
    -0.70
    riors
    -0.68
     Lisbon
    -0.68
     Krug
    -0.68
    inen
    -0.67
    gerald
    -0.66
    Äĩ
    -0.63
     caution
    -0.63
    FORMATION
    -0.62
    POSITIVE LOGITS
    ecast
    1.38
     Chrom
    0.98
    ophon
    0.87
    ancers
    0.87
    ograms
    0.85
    ium
    0.84
    icity
    0.84
    atic
    0.83
    ogram
    0.83
    edy
    0.82
    Activations Density 0.007%

    No Known Activations