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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. 8-RES-JB
    11. 4982
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    Explanations

    words related to names and pseudonyms

    oai_token-act-pair · gpt-3.5-turbo

    references to names and pseudonyms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    akespeare
    -0.72
    oven
    -0.68
    SPONSORED
    -0.68
     weighed
    -0.68
     pitted
    -0.67
    SIZE
    -0.67
     warmed
    -0.66
    Constructed
    -0.65
    absor
    -0.65
     contrace
    -0.64
    POSITIVE LOGITS
     Kw
    0.88
     Doe
    0.84
     Dai
    0.82
     è
    0.80
     Fritz
    0.80
     Vand
    0.78
     Abu
    0.78
     Schw
    0.77
     Ak
    0.77
     Agent
    0.77
    Activations Density 0.167%

    No Known Activations