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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. 8-RES-JB
    11. 12243
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    Explanations

    phrases related to activity or involvement

    oai_token-act-pair · gpt-3.5-turbo

    references to active military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aneers
    -0.84
    ĸļ
    -0.76
    AMI
    -0.73
    pper
    -0.72
    obyl
    -0.72
    OUGH
    -0.72
    arium
    -0.70
    unts
    -0.69
    umbo
    -0.69
    ppers
    -0.68
    POSITIVE LOGITS
     ingredient
    0.92
     participation
    0.91
     volcano
    0.88
     duty
    0.88
     Directory
    0.80
    duty
    0.80
    ãĤ¿
    0.79
     participant
    0.78
    ives
    0.76
     involvement
    0.75
    Activations Density 0.033%

    No Known Activations