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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. 7-RES-JB
    11. 6484
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    Explanations

    descriptions and references to internal aspects or components

    oai_token-act-pair · gpt-3.5-turbo

    terms related to internal structures and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.83
    accompan
    -0.77
    apest
    -0.77
    itiveness
    -0.77
    acci
    -0.71
    quished
    -0.68
     Tradable
    -0.68
    icipated
    -0.66
    Cola
    -0.66
    itionally
    -0.66
    POSITIVE LOGITS
    hyde
    0.69
     exits
    0.68
     comfort
    0.68
     wedge
    0.68
    ĸļ
    0.64
    ways
    0.62
     mantle
    0.62
     cache
    0.62
     Explorer
    0.61
     fault
    0.60
    Activations Density 0.474%

    No Known Activations