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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. 6-RES-JB
    11. 7917
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    Explanations

    numeric codes or abbreviations related to specific organizations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to "CH" followed by a number, indicating a specific classification, category, or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.78
    ãĥĥãĥī
    -0.76
    sov
    -0.75
    ãĥ¼ãĥĨãĤ£
    -0.73
    gency
    -0.72
    ãĤ´ãĥ³
    -0.71
    gaard
    -0.70
    Äĩ
    -0.67
    ¯¯¯¯
    -0.67
     belt
    -0.66
    POSITIVE LOGITS
    APTER
    1.06
    ECK
    1.03
    ANGE
    0.99
    ANN
    0.98
    OOL
    0.96
    OME
    0.95
    ivalry
    0.94
    apeake
    0.93
    ILD
    0.88
    AIN
    0.88
    Activations Density 0.017%

    No Known Activations