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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. 20065
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    Explanations

    phrases indicating drawbacks or disadvantages

    oai_token-act-pair · gpt-3.5-turbo

    terms that describe drawbacks or disadvantages

    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
    ucha
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
    events
    -0.63
    olon
    -0.62
    roots
    -0.62
    urgy
    -0.61
    WOOD
    -0.61
    raphic
    -0.61
    onement
    -0.61
    orian
    -0.61
    POSITIVE LOGITS
     drawback
    0.95
     caveat
    0.94
     downside
    0.93
     caveats
    0.80
     empt
    0.77
    asso
    0.73
     inherent
    0.72
     beware
    0.70
     pesky
    0.70
     limitation
    0.70
    Activations Density 0.293%

    No Known Activations