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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. 4-RES-JB
    11. 12411
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    key terms associated with specific organizations or establishments

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

    No Comments

    Negative Logits
     DOI
    -0.54
    vag
    -0.48
     ASP
    -0.46
     EDIT
    -0.46
     interchange
    -0.46
     ï
    -0.45
     SPR
    -0.44
    tags
    -0.43
    doi
    -0.43
     BI
    -0.43
    POSITIVE LOGITS
    idia
    0.61
    unia
    0.60
    REDACTED
    0.60
    ruary
    0.59
    raltar
    0.59
    ragon
    0.57
    ldom
    0.57
    eton
    0.57
    ificate
    0.56
    ocalypse
    0.55
    Activations Density 0.626%

    No Known Activations