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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. 7-RES-JB
    11. 17942
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups, entities, and classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lik
    -0.70
    blers
    -0.66
    polit
    -0.64
    speak
    -0.64
    much
    -0.63
    SPONSORED
    -0.63
    ensibly
    -0.63
    rology
    -0.62
    ties
    -0.61
    DERR
    -0.61
    POSITIVE LOGITS
     combo
    0.78
     aggregate
    0.75
     affair
    0.75
    enger
    0.74
    essee
    0.73
     backlog
    0.71
    clusive
    0.69
     alliance
    0.69
     batch
    0.67
     cumulative
    0.66
    Activations Density 0.099%

    No Known Activations