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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. 3-RES-JB
    11. 17668
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    Explanations

    documents that have been obtained or reported on by specific sources or publications

    oai_token-act-pair · gpt-3.5-turbo

    references to documents or information that have been acquired or sourced

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gaard
    -0.73
    cas
    -0.73
    hov
    -0.68
    heartedly
    -0.67
    este
    -0.66
    mans
    -0.61
    psc
    -0.60
    odd
    -0.60
    issue
    -0.60
    brace
    -0.59
    POSITIVE LOGITS
    CLASSIFIED
    0.98
    racuse
    0.85
    andom
    0.81
     obtained
    0.80
     unfocusedRange
    0.75
    Materials
    0.75
    OGR
    0.74
    >]
    0.72
    MpServer
    0.72
    rarily
    0.71
    Activations Density 0.013%

    No Known Activations