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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. 0-RES-JB
    11. 11456
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to knowledge or information in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sim
    -0.74
     scenes
    -0.70
     fitt
    -0.70
     Sto
    -0.67
     scene
    -0.67
     drama
    -0.63
     mixed
    -0.63
     indoors
    -0.63
     macros
    -0.62
     situations
    -0.62
    POSITIVE LOGITS
    ledge
    4.95
    ledged
    2.43
    lege
    1.32
    lance
    1.16
    wagen
    1.01
    naire
    0.97
    ennett
    0.97
    backer
    0.97
    leigh
    0.97
    LED
    0.96
    Activations Density 0.016%

    No Known Activations