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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. 14054
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    Explanations

    words related to embarrassment

    oai_token-act-pair · gpt-3.5-turbo

    suffixes related to emotional states or conditions

    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
    yip
    -0.78
     constitu
    -0.78
    uala
    -0.77
    ç¥ŀ
    -0.63
    UA
    -0.63
     Nex
    -0.63
    eers
    -0.61
    ibrary
    -0.61
     Blossom
    -0.61
    irie
    -0.60
    POSITIVE LOGITS
    assment
    0.79
    aration
    0.78
    vable
    0.78
    ishment
    0.77
    ractive
    0.75
    ressed
    0.74
    strap
    0.72
    ilitation
    0.71
    enment
    0.71
    ailability
    0.70
    Activations Density 0.140%

    No Known Activations