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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. 7-RES-JB
    11. 11507
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    INDEX
    Explanations

    proper nouns related to different industries or persons

    oai_token-act-pair · gpt-3.5-turbo

    references to art and artistic elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.72
    KI
    -0.67
    ELD
    -0.65
    pora
    -0.65
     iod
    -0.62
     ker
    -0.62
     crest
    -0.59
     snowy
    -0.58
     Crosby
    -0.56
     chloride
    -0.56
    POSITIVE LOGITS
    ifact
    1.38
    illery
    1.22
    heid
    1.10
    isans
    1.04
    ificial
    1.04
    inez
    1.03
    icles
    1.02
    ooth
    0.99
    iller
    0.97
    esian
    0.96
    Activations Density 0.019%

    No Known Activations