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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. 2071
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    INDEX
    Explanations

    adjectives that denote positive qualities

    oai_token-act-pair · gpt-3.5-turbo

    significant names, categories, and quantitative data points

    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
    arthy
    -0.67
    RAW
    -0.66
     Investor
    -0.66
    uddin
    -0.64
     Cros
    -0.63
     Beir
    -0.60
     Expression
    -0.60
     Rural
    -0.59
     Limbaugh
    -0.59
     Expect
    -0.59
    POSITIVE LOGITS
    votes
    0.90
    imore
    0.76
    aways
    0.74
    keyes
    0.72
     TDs
    0.67
    ãĥ¯ãĥ³
    0.67
     calves
    0.67
     intersections
    0.64
     starters
    0.64
    iliated
    0.64
    Activations Density 0.558%

    No Known Activations