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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. 16976
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    INDEX
    Explanations

    codenames and terms related to specific identifiers or classifications

    oai_token-act-pair · gpt-3.5-turbo

    references to cod, likely in the context of fish or programming

    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
    olicy
    -0.68
     pity
    -0.66
     Parish
    -0.66
     Samoa
    -0.65
    ACP
    -0.62
     Lafayette
    -0.62
     Prosper
    -0.62
     Ki
    -0.61
     Pradesh
    -0.61
    zzi
    -0.61
    POSITIVE LOGITS
    ependent
    1.17
    ename
    1.12
    ãĥĥãĥī
    1.06
    ependence
    0.98
    epend
    0.95
     cod
    0.93
    ifier
    0.91
    irect
    0.91
    ophon
    0.90
    ified
    0.89
    Activations Density 0.008%

    No Known Activations