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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
    11. 954
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    INDEX
    Explanations

    names of specific entities or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns associated with individuals, organizations, or brands

    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
    olitan
    -0.77
    Area
    -0.68
    ofi
    -0.62
     outpatient
    -0.62
     ILCS
    -0.61
     pharmacies
    -0.58
     FTA
    -0.58
     retirees
    -0.57
     vacant
    -0.56
     Columb
    -0.56
    POSITIVE LOGITS
    gaard
    1.15
    lings
    1.03
    lein
    1.01
    ling
    0.95
    ding
    0.95
    gence
    0.88
    rette
    0.87
    stad
    0.85
    belt
    0.84
    mens
    0.84
    Activations Density 0.010%

    No Known Activations