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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
    11. 7418
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific chapters or sections related to legal or formal contexts

    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
    pection
    -0.71
    wcs
    -0.69
    kell
    -0.65
     redemption
    -0.64
     scr
    -0.63
     sight
    -0.62
    hammad
    -0.61
    piring
    -0.60
    xual
    -0.59
     Haram
    -0.58
    POSITIVE LOGITS
    eur
    0.90
    CAST
    0.84
    als
    0.82
    ular
    0.82
    rov
    0.82
    oslav
    0.78
    eless
    0.77
    ments
    0.76
    isites
    0.76
    eenth
    0.74
    Activations Density 0.030%

    No Known Activations