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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. 4-RES-JB
    11. 16473
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    Explanations

    references to specific points in time

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of time

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

    No Comments

    Negative Logits
    yright
    -0.78
    artisan
    -0.71
    ortium
    -0.71
    ramid
    -0.70
    kef
    -0.69
    rosis
    -0.69
    warts
    -0.69
    drm
    -0.68
    ottage
    -0.67
    ECD
    -0.66
    POSITIVE LOGITS
    frames
    0.87
     consuming
    0.83
     elapsed
    0.79
    rose
    0.78
    zone
    0.76
     period
    0.76
     periods
    0.75
    frame
    0.73
     lapse
    0.72
     continuum
    0.70
    Activations Density 0.039%

    No Known Activations