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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. 13348
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    INDEX
    Explanations

    assertive statements expressing strong opinions

    oai_token-act-pair · gpt-3.5-turbo

    affirmations or strong confirmations

    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
    lings
    -0.85
    Reviewer
    -0.83
    mits
    -0.80
    glers
    -0.79
    roups
    -0.77
    umbn
    -0.77
    gencies
    -0.75
    elf
    -0.73
    bucks
    -0.70
    lets
    -0.70
    POSITIVE LOGITS
     identifiable
    0.78
     noticeable
    0.75
     detract
    0.73
     outnumbered
    0.73
     distinguish
    0.71
     qualifies
    0.70
     differentiated
    0.69
     disagree
    0.68
     deline
    0.66
     bothered
    0.66
    Activations Density 0.013%

    No Known Activations