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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. 24150
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    Explanations

    phrases related to the central or most important part of a concept or location

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express centrality or importance

    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
     Cosponsors
    -0.74
    iae
    -0.70
    alli
    -0.70
    iona
    -0.69
    grad
    -0.69
     WATCHED
    -0.67
    rians
    -0.66
    ially
    -0.65
    ials
    -0.65
    abs
    -0.62
    POSITIVE LOGITS
     contention
    0.91
     Appalach
    0.81
     Christianity
    0.71
     controversy
    0.71
     criminality
    0.69
     humanity
    0.68
     Mormonism
    0.67
     civilization
    0.66
     GamerGate
    0.63
     warfare
    0.62
    Activations Density 0.118%

    No Known Activations