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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
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    Explanations

    items of clothing, specifically shorts

    oai_token-act-pair · gpt-3.5-turbo

    references to types of shorts and related clothing items

    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
    rian
    -0.79
     Archdemon
    -0.70
    rians
    -0.69
    eering
    -0.68
    éĩ
    -0.68
    女
    -0.68
    Reviewer
    -0.68
    APH
    -0.67
    naire
    -0.66
    âĹ¼
    -0.65
    POSITIVE LOGITS
     shorts
    0.99
    hirt
    0.98
    leeve
    0.96
    yip
    0.96
    ters
    0.85
    creen
    0.85
    uits
    0.79
    ilver
    0.78
    ORTS
    0.75
    case
    0.71
    Activations Density 0.016%

    No Known Activations