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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. 23890
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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
    cigarettes
    -0.72
    amacare
    -0.69
    xit
    -0.65
    advertising
    -0.61
     dstg
    -0.61
    .....
    -0.61
    cigarette
    -0.58
    bleacher
    -0.58
    dor
    -0.58
    .?
    -0.57
    POSITIVE LOGITS
     insightful
    0.74
     examples
    0.72
     brainstorm
    0.71
     collabor
    0.68
     workshops
    0.68
     algorith
    0.67
     foundational
    0.66
     workshop
    0.65
     conceptual
    0.65
     collaborations
    0.64
    Activations Density 1.378%

    No Known Activations