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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
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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 @ 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
    Spot
    -0.69
    Answer
    -0.66
     Notting
    -0.59
    ß
    -0.58
    Natural
    -0.57
    PDATE
    -0.57
     Shank
    -0.57
    ccording
    -0.55
     Stack
    -0.55
    owler
    -0.55
    POSITIVE LOGITS
    ously
    0.81
    aires
    0.78
    iously
    0.75
    acters
    0.70
    aneously
    0.68
    ized
    0.67
    ious
    0.67
    ited
    0.67
    icate
    0.66
    naires
    0.64
    Activations Density 0.476%

    No Known Activations