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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. 6-RES-JB
    11. 445
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    INDEX
    Explanations

    key pieces of information or components within a context

    oai_token-act-pair · gpt-3.5-turbo

    key components or elements that are significant to a topic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    igham
    -0.69
    olini
    -0.68
     faintly
    -0.67
    osa
    -0.66
    pered
    -0.63
    steamapps
    -0.62
    ocre
    -0.62
     faint
    -0.61
    okingly
    -0.60
     Carbuncle
    -0.60
    POSITIVE LOGITS
     viz
    0.82
     (>
    0.76
    rients
    0.67
     underpin
    0.67
    andowski
    0.65
    arov
    0.64
     jun
    0.64
    stone
    0.63
    stuff
    0.63
    ainment
    0.61
    Activations Density 0.195%

    No Known Activations