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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. 2-RES-JB
    11. 21100
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    INDEX
    Explanations

    mentions or references to a specific news or television network

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific news network or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hold
    -0.85
    raltar
    -0.84
    acters
    -0.82
    iano
    -0.81
    rosse
    -0.79
    plex
    -0.78
    illes
    -0.77
    acter
    -0.76
    objects
    -0.76
    ============
    -0.73
    POSITIVE LOGITS
    ND
    1.19
     ND
    1.09
    LR
    0.87
    ependent
    0.81
    epend
    0.78
    icol
    0.76
     lapse
    0.75
    ocument
    0.73
    rint
    0.73
    ENSE
    0.72
    Activations Density 0.005%

    No Known Activations