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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. 3-RES-JB
    11. 4666
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    INDEX
    Explanations

    mentions of the term "Cato" along with accompanying details

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with legal briefs and academic articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mable
    -0.82
    gradient
    -0.71
    paren
    -0.62
    aways
    -0.62
    shall
    -0.61
    electric
    -0.61
    dies
    -0.61
     alternating
    -0.60
     Kardashian
    -0.60
     hemorrh
    -0.60
    POSITIVE LOGITS
    icus
    1.09
     Finch
    0.84
    uously
    0.81
    atus
    0.80
    olini
    0.80
    henko
    0.79
    urus
    0.79
    peria
    0.78
    odox
    0.78
    Film
    0.77
    Activations Density 0.018%

    No Known Activations