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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. 11293
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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
    assemb
    -0.66
    ordinate
    -0.63
    kered
    -0.62
    argon
    -0.61
    ãĥ£
    -0.61
    eware
    -0.60
     consolation
    -0.59
    olver
    -0.58
    Strike
    -0.58
    ucing
    -0.57
    POSITIVE LOGITS
    unal
    0.84
    naires
    0.79
     laid
    0.76
     norms
    0.75
     established
    0.74
     requirements
    0.70
     whereby
    0.68
     dictated
    0.67
     athlet
    0.67
     regarding
    0.66
    Activations Density 0.312%

    No Known Activations