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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. 5674
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to abandoned and stolen items or properties

    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
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    No Comments

    Negative Logits
    SPONSORED
    -0.90
    trained
    -0.79
    BIT
    -0.79
    xual
    -0.78
    udic
    -0.78
    cise
    -0.76
    armed
    -0.74
    got
    -0.73
    yip
    -0.73
    abetic
    -0.72
    POSITIVE LOGITS
     goods
    0.90
     parts
    0.81
     manuscripts
    0.78
    adoes
    0.77
     portions
    0.77
     limbs
    0.76
     luggage
    0.75
     carc
    0.74
     assets
    0.70
     uranium
    0.70
    Activations Density 0.214%

    No Known Activations