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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. 0-RES-JB
    11. 4833
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    INDEX
    Explanations

    titles or text snippets containing the word "Fact"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Fact" and related forms in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gy
    -0.73
     recharge
    -0.68
    gian
    -0.66
    erson
    -0.66
     grun
    -0.65
    gar
    -0.64
    Pad
    -0.63
     upl
    -0.62
     swinging
    -0.62
     motivate
    -0.61
    POSITIVE LOGITS
     Fact
    3.85
    Fact
    3.34
     Facts
    2.04
    fact
    1.80
     fact
    1.41
     facts
    1.29
     FAC
    1.29
    facts
    1.17
     Quote
    1.17
     Factor
    1.16
    Activations Density 0.012%

    No Known Activations