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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. 9-RES-JB
    11. 20855
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    Explanations

    keywords related to asking or desiring information or solutions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or requests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wounding
    -0.69
     Solitaire
    -0.65
     Shards
    -0.59
     stride
    -0.59
     Sierra
    -0.57
     slopes
    -0.57
     Ragnar
    -0.57
     Seym
    -0.56
     embod
    -0.56
    cision
    -0.55
    POSITIVE LOGITS
    igslist
    0.83
    reprene
    0.83
    agh
    0.79
    atile
    0.77
    anta
    0.76
    ful
    0.76
    on
    0.75
    ony
    0.75
    onia
    0.73
    only
    0.71
    Activations Density 0.067%

    No Known Activations