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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. 0-RES-JB
    11. 5217
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    Explanations

    adjectives describing something difficult to locate or achieve

    oai_token-act-pair · gpt-3.5-turbo

    terms related to difficulty in achieving or capturing something, particularly "elusive" items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocl
    -0.80
     plagiar
    -0.71
     spons
    -0.69
    ilst
    -0.67
     Sketch
    -0.66
    paren
    -0.65
    OTA
    -0.63
     serv
    -0.63
     strip
    -0.62
    imgur
    -0.62
    POSITIVE LOGITS
     elusive
    2.60
    sweet
    1.99
    nington
    1.31
     beverage
    1.11
    uble
    1.11
    KEY
    1.06
     beverages
    1.05
     Sweeney
    0.94
    ioxide
    0.92
    arah
    0.86
    Activations Density 0.034%

    No Known Activations