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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. 20040
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    INDEX
    Explanations

    names or mentions of a specific character or entity ("CHR")

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or organizations

    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
    eers
    -0.88
     APPLIC
    -0.73
    gent
    -0.70
     Loans
    -0.69
    hips
    -0.68
    mite
    -0.68
     Kafka
    -0.66
    ãĥĩãĤ£
    -0.66
    ridge
    -0.65
    pta
    -0.65
    POSITIVE LOGITS
    CHR
    0.87
    OPER
    0.82
    ansen
    0.76
    isma
    0.74
    ICLE
    0.70
    arta
    0.68
    aucas
    0.68
    DW
    0.68
    NH
    0.67
    razil
    0.66
    Activations Density 0.026%

    No Known Activations