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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. 4621
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    INDEX
    Explanations

    references to specific organizations or titles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Examiner" and related terms regarding investigative roles

    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
    eworld
    -0.78
     Kap
    -0.78
    tackle
    -0.71
    kamp
    -0.70
     Gaw
    -0.69
    deals
    -0.69
    emb
    -0.68
    rol
    -0.67
    Ka
    -0.66
    ulatory
    -0.65
    POSITIVE LOGITS
     Examiner
    1.11
    aminer
    0.87
     precedence
    0.76
     resil
    0.74
     examiner
    0.69
    ĪĴ
    0.68
     intrins
    0.67
     Reno
    0.64
     rall
    0.64
    isite
    0.63
    Activations Density 0.013%

    No Known Activations