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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. 3-RES-JB
    11. 4772
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    Explanations

    phrases related to quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the word "several."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atum
    -0.72
    Reviewer
    -0.71
    ola
    -0.70
    roit
    -0.70
    agate
    -0.68
    uala
    -0.67
    asta
    -0.66
    oulos
    -0.66
    iola
    -0.66
    acus
    -0.65
    POSITIVE LOGITS
     hundred
    1.49
     dozen
    1.44
     thousand
    1.35
    dozen
    1.06
     thous
    0.96
     times
    0.95
     months
    0.94
     iterations
    0.92
    een
    0.91
     weeks
    0.90
    Activations Density 0.034%

    No Known Activations