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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. 9-RES-JB
    11. 13277
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    Explanations

    words related to intensity, extremity, or overwhelming magnitude of a situation

    oai_token-act-pair · gpt-3.5-turbo

    humorous or ironic descriptions of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sson
    -0.66
    arnaev
    -0.64
    ubi
    -0.63
     --------
    -0.61
    ansson
    -0.61
    ierrez
    -0.61
     srf
    -0.61
    acies
    -0.60
    anka
    -0.60
     represented
    -0.59
    POSITIVE LOGITS
     even
    0.79
     understatement
    0.76
     blush
    0.74
     practically
    0.73
     vomit
    0.73
     unrecogn
    0.70
     proverb
    0.70
     impossibility
    0.70
     Guinness
    0.69
    Offline
    0.69
    Activations Density 0.438%

    No Known Activations