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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. 11-RES-JB
    11. 9231
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    Explanations

    phrases emphasizing clarity or negation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize clarity and negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uces
    -0.70
    Suddenly
    -0.69
     Possible
    -0.68
     glim
    -0.64
     suscept
    -0.61
     Alternatively
    -0.59
    Alternatively
    -0.57
    uce
    -0.57
     heights
    -0.56
     dwindling
    -0.56
    POSITIVE LOGITS
     NEVER
    1.32
     neither
    1.18
     NOT
    1.17
     never
    1.17
     ONLY
    1.15
    never
    1.12
     nothing
    1.03
     DOES
    1.00
     merely
    0.99
    nothing
    0.99
    Activations Density 0.737%

    No Known Activations