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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. 3-RES-JB
    11. 5368
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.84
     tune
    -0.72
    ecided
    -0.65
    gor
    -0.63
    oles
    -0.62
     cradle
    -0.62
    onics
    -0.62
     grief
    -0.61
    phia
    -0.60
    bats
    -0.60
    POSITIVE LOGITS
    XXX
    0.69
     limitations
    0.69
    verning
    0.68
    arten
    0.66
     subsections
    0.64
     limitation
    0.63
    İĭ
    0.63
    BUS
    0.63
    _.
    0.62
     requiring
    0.61
    Activations Density 0.154%

    No Known Activations