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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. 11-RES-JB
    11. 4163
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    Explanations

    numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    the end of sections or paragraphs within the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.51
    ification
    -0.42
    ivation
    -0.42
    riage
    -0.41
     theirs
    -0.41
    abwe
    -0.41
    aste
    -0.41
     administr
    -0.40
    lance
    -0.39
    ique
    -0.38
    POSITIVE LOGITS
     crore
    0.69
     mins
    0.65
     million
    0.64
     trillion
    0.64
     stitches
    0.64
     inches
    0.64
     Minutes
    0.64
     tablespoons
    0.63
     lakh
    0.63
     years
    0.62
    Activations Density 0.276%

    No Known Activations