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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. 8-RES-JB
    11. 12680
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    INDEX
    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mattered
    -0.60
     equals
    -0.60
    ":"","
    -0.59
     sexes
    -0.59
    itutes
    -0.58
    actionDate
    -0.57
    RELATED
    -0.57
     cryst
    -0.55
    utes
    -0.54
     trailed
    -0.53
    POSITIVE LOGITS
    's
    0.95
    essen
    0.72
    ]'
    0.70
    hoe
    0.69
    ÃŃs
    0.69
    speak
    0.66
    senal
    0.66
     describing
    0.65
     Presents
    0.64
     whose
    0.63
    Activations Density 0.630%

    No Known Activations