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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. 6-RES-JB
    11. 15435
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.64
     omission
    -0.62
     variance
    -0.61
    ONSORED
    -0.59
     thickness
    -0.58
     blend
    -0.58
    URA
    -0.58
     threat
    -0.57
     urgency
    -0.57
     stewards
    -0.57
    POSITIVE LOGITS
    hemy
    0.97
    pedia
    0.95
    merce
    0.89
    aneers
    0.86
    reau
    0.82
     Ferry
    0.81
    hene
    0.79
    eman
    0.78
    eworthy
    0.78
    leck
    0.77
    Activations Density 0.043%

    No Known Activations