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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. 14542
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    Explanations

    phrases related to quantity and availability

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to limitations, absence, and willingness

    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
    _.
    -0.72
    $.
    -0.67
     hereafter
    -0.66
    ().
    -0.65
     thirds
    -0.63
    !.
    -0.63
    +.
    -0.62
    gil
    -0.61
     respectively
    -0.58
    actly
    -0.56
    POSITIVE LOGITS
     lends
    0.95
     coincided
    0.95
     embold
    0.90
     coincides
    0.89
     ensures
    0.87
     underscores
    0.86
     reflects
    0.85
     translates
    0.85
     extends
    0.84
     prompted
    0.84
    Activations Density 0.454%

    No Known Activations