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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. 23719
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    Explanations

    phrases that indicate detailed explanations or descriptions of events or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    detailed descriptions or accounts of events

    oai_token-act-pair · gpt-3.5-turbo
    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
    iferation
    -0.73
    assic
    -0.71
    AU
    -0.66
    stack
    -0.66
    think
    -0.65
    Desktop
    -0.63
    AppData
    -0.62
    lua
    -0.62
    achable
    -0.61
    atan
    -0.60
    POSITIVE LOGITS
     similarities
    0.82
     endorsements
    0.72
     how
    0.70
     parallels
    0.69
     links
    0.67
     excerpts
    0.66
     assass
    0.64
     aspects
    0.64
     harrowing
    0.63
     shortcomings
    0.62
    Activations Density 0.280%

    No Known Activations