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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. 11-RES-JB
    11. 9208
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    Explanations

    verbs related to actions or events happening

    oai_token-act-pair · gpt-3.5-turbo

    actions or events involving significant achievements or transformations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pmwiki
    -0.82
     incent
    -0.71
    /
    -0.67
    abis
    -0.67
    wcsstore
    -0.66
    EStreamFrame
    -0.65
    catentry
    -0.64
    TEXTURE
    -0.63
    /
    -0.61
    Desktop
    -0.61
    POSITIVE LOGITS
     him
    1.15
     us
    0.89
     itself
    0.81
    awed
    0.80
     me
    0.79
     jaws
    0.74
     Nicol
    0.70
     Lyndon
    0.69
     viewers
    0.69
     them
    0.68
    Activations Density 0.316%

    No Known Activations