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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. 1685
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    Explanations

    references to bouquets or collections of items

    oai_token-act-pair · gpt-3.5-turbo

    references to elaborate food presentations or specific types of food arrangements

    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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    Negative Logits
    CI
    -0.71
     CI
    -0.64
    ï¸
    -0.63
    senal
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     employers
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    Employ
    -0.62
     livest
    -0.61
     millenn
    -0.60
     plur
    -0.60
     hire
    -0.60
    POSITIVE LOGITS
    ball
    1.06
    eting
    0.87
    balls
    0.86
    sie
    0.82
    haus
    0.82
    lete
    0.80
    ridge
    0.80
    oir
    0.80
    aires
    0.79
    istic
    0.79
    Activations Density 0.014%

    No Known Activations