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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. 9-RES-JB
    11. 3518
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scept
    -0.75
     organis
    -0.74
     organisations
    -0.73
     Draco
    -0.69
     emphas
    -0.69
     endeavour
    -0.69
    cially
    -0.68
     âĤ¬
    -0.68
     Bale
    -0.67
     Cyborg
    -0.67
    POSITIVE LOGITS
    WASHINGTON
    1.28
    SAN
    1.20
    CLOSE
    1.18
    CLE
    1.14
    LOS
    1.07
    SHARE
    1.07
    COL
    1.05
    Correct
    1.05
    WIN
    1.00
    GREEN
    0.97
    Activations Density 0.105%

    No Known Activations