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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. 3882
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    Explanations

    phrases indicating a comparison or imagining a scenario

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing comparisons or a sense of how experiences are perceived

    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
    cipl
    -0.75
    ukong
    -0.74
    tein
    -0.69
    ishable
    -0.68
    ilts
    -0.66
    Americ
    -0.66
    ositories
    -0.65
     mention
    -0.63
    clave
    -0.61
     QUEST
    -0.60
    POSITIVE LOGITS
    liest
    0.87
     unfolding
    0.75
     BEFORE
    0.74
     aboard
    0.69
     WITHOUT
    0.68
     AFTER
    0.68
    lihood
    0.67
     unfold
    0.67
     inside
    0.67
    .>>
    0.67
    Activations Density 0.057%

    No Known Activations