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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. 1779
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    oai_token-act-pair · gpt-3.5-turbo

    parentheses in the text

    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
     lax
    -0.80
     lull
    -0.80
     gaze
    -0.80
     tox
    -0.75
     ent
    -0.74
     fle
    -0.72
     energ
    -0.72
     boldly
    -0.71
     explor
    -0.70
     confront
    -0.70
    POSITIVE LOGITS
    excluding
    1.52
    depending
    1.52
    approximately
    1.42
    including
    1.34
    average
    1.33
    total
    1.27
    comp
    1.23
    minimum
    1.22
    rounded
    1.21
    according
    1.20
    Activations Density 0.085%

    No Known Activations