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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. 7-RES-JB
    11. 23774
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    Explanations

    phrases related to worry or concern

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern or worry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.70
    hem
    -0.64
    iddle
    -0.64
    bern
    -0.63
    heres
    -0.63
    AMA
    -0.62
    ample
    -0.62
    rawled
    -0.59
    allows
    -0.59
    heim
    -0.59
    POSITIVE LOGITS
     about
    0.85
     ABOUT
    0.75
     underest
    0.73
     undermin
    0.72
     uproar
    0.71
     aback
    0.71
     enough
    0.69
    LY
    0.67
     lest
    0.66
    ļé
    0.65
    Activations Density 0.139%

    No Known Activations