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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. 6-RES-JB
    11. 17595
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    Explanations

    keywords related to activity or involvement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "active" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aneers
    -0.84
    ĸļ
    -0.78
    obyl
    -0.76
    unia
    -0.74
    ageddon
    -0.73
    AMI
    -0.72
    ython
    -0.71
     Canaver
    -0.71
    yth
    -0.71
    OUGH
    -0.70
    POSITIVE LOGITS
     participation
    0.90
     ingredient
    0.88
     volcano
    0.81
     duty
    0.80
     participant
    0.80
    ives
    0.79
     involvement
    0.78
     Directory
    0.75
     active
    0.74
    activity
    0.73
    Activations Density 0.021%

    No Known Activations