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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. 8-RES-JB
    11. 3225
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    INDEX
    Explanations

    mentions of wire or wire-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to wire fraud and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.84
     contestant
    -0.67
    eston
    -0.66
     contestants
    -0.65
    BIP
    -0.65
     foss
    -0.64
    olute
    -0.62
    uum
    -0.62
    zzy
    -0.61
    ļé
    -0.61
    POSITIVE LOGITS
    lessly
    1.21
    tap
    1.15
    frame
    1.07
    fram
    1.00
    frames
    0.97
     mesh
    0.94
    wire
    0.90
    haired
    0.87
     fences
    0.84
    lessness
    0.81
    Activations Density 0.020%

    No Known Activations