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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. 11491
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    INDEX
    Explanations

    mentions of specific names (e.g., Booker, Kidd) along with corresponding context, such as prizes, schools, and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of notable individuals, specifically politicians and athletes

    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
    ivot
    -0.78
    UAL
    -0.73
    urity
    -0.71
    iltration
    -0.68
    ulate
    -0.67
    reed
    -0.67
    ospital
    -0.67
    rity
    -0.65
    allel
    -0.64
    ulhu
    -0.63
    POSITIVE LOGITS
     Booker
    1.00
    stown
    0.79
    berries
    0.76
    \\\\\\\\
    0.76
     Alley
    0.74
    bats
    0.72
    haus
    0.72
    mouth
    0.71
     Motors
    0.68
    berry
    0.68
    Activations Density 0.009%

    No Known Activations