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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. 11157
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     solicit
    -0.67
     discl
    -0.63
     scope
    -0.62
     horizon
    -0.62
     hor
    -0.61
     silhou
    -0.61
     hypocr
    -0.60
    yrics
    -0.59
     consultation
    -0.59
     audible
    -0.58
    POSITIVE LOGITS
     outright
    1.13
     convinc
    1.08
     decisively
    1.03
     twice
    0.89
     despite
    0.83
    Ĥİ
    0.83
     effortlessly
    0.80
     again
    0.78
     Offline
    0.77
     AGA
    0.76
    Activations Density 0.185%

    No Known Activations