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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. 10174
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    Explanations

    phrases indicating critical judgment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying dissatisfaction or negative evaluations

    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
    rather
    -0.65
    alm
    -0.61
    olutely
    -0.60
    azar
    -0.59
    ription
    -0.59
    usra
    -0.57
    esses
    -0.57
    cientious
    -0.56
    etermined
    -0.56
    eely
    -0.56
    POSITIVE LOGITS
     anymore
    1.72
     nor
    1.33
     either
    1.02
     whatsoever
    0.90
    nor
    0.86
     yet
    0.86
     anywhere
    0.85
    yet
    0.85
     Enough
    0.78
     necessarily
    0.78
    Activations Density 0.293%

    No Known Activations