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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. 8590
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    Explanations

    mentions of the word "new"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "new."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ammers
    -0.81
    WARE
    -0.75
    lees
    -0.70
    acers
    -0.70
    umes
    -0.69
    isters
    -0.68
    enance
    -0.68
    abouts
    -0.67
    ences
    -0.67
    tics
    -0.65
    POSITIVE LOGITS
    bie
    1.30
    foundland
    1.01
     generation
    0.98
    bies
    0.97
     batch
    0.97
     iteration
    0.84
     edition
    0.84
     wave
    0.83
     dimension
    0.82
     slew
    0.82
    Activations Density 0.073%

    No Known Activations