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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
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    Explanations

    references to various topics or concepts mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "reference."

    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
    awk
    -0.77
    icipated
    -0.73
    cffff
    -0.70
    ilon
    -0.70
    alach
    -0.68
    keye
    -0.68
    Ģ
    -0.67
    ihad
    -0.67
    ailability
    -0.66
    isine
    -0.65
    POSITIVE LOGITS
     references
    0.89
    reference
    0.88
     Reference
    0.85
    ="#
    0.78
    minist
    0.76
     reference
    0.76
    enza
    0.74
    Reference
    0.71
    irect
    0.69
    cards
    0.69
    Activations Density 0.018%

    No Known Activations