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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. 4298
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    Explanations

    discussions or statements referencing different topics or experiences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "say" and its variations, as well as the concept of hearing and other expressions of communication

    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
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    No Comments

    Negative Logits
    WER
    -0.76
    #$#$
    -0.64
    bourg
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    Ü
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    TextColor
    -0.60
     antioxid
    -0.60
    Ī
    -0.60
    aic
    -0.60
    scrib
    -0.59
    vier
    -0.59
    POSITIVE LOGITS
     confronted
    0.72
    uberty
    0.68
     Bec
    0.68
    join
    0.67
    uddenly
    0.66
    roup
    0.65
    Premium
    0.62
    earch
    0.62
     arrives
    0.61
    iculty
    0.61
    Activations Density 0.410%

    No Known Activations