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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "mention" followed by a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mention."

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

    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯
    -0.88
    ¯¯¯¯
    -0.73
    ¯¯
    -0.72
    ierra
    -0.70
    sett
    -0.66
     Somers
    -0.66
     millenn
    -0.63
     waged
    -0.63
     sled
    -0.63
     trainers
    -0.63
    POSITIVE LOGITS
    ibility
    0.94
     mentions
    0.93
     mentioning
    0.88
    lihood
    0.83
    itarian
    0.78
    cliffe
    0.78
    fulness
    0.77
     mention
    0.77
    lessness
    0.77
     aloud
    0.74
    Activations Density 0.020%

    No Known Activations