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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. 24496
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    INDEX
    Explanations

    phrases related to continuation or persistence

    oai_token-act-pair · gpt-3.5-turbo

    references to ongoing actions and influences

    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
    ethy
    -0.75
    orah
    -0.73
    soDeliveryDate
    -0.68
    shaw
    -0.67
    adem
    -0.65
    usercontent
    -0.64
     referees
    -0.64
    encers
    -0.61
    redict
    -0.60
    Lat
    -0.60
    POSITIVE LOGITS
     tradition
    0.95
     uninterrupted
    0.91
     unab
    0.89
     footsteps
    0.87
     pursuit
    0.82
     downward
    0.82
     momentum
    0.80
     vein
    0.79
     upward
    0.76
    abre
    0.75
    Activations Density 0.155%

    No Known Activations