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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. 14292
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    Explanations

    words related to emotional reactions or events in a dramatic or intense context

    oai_token-act-pair · gpt-3.5-turbo

    instances of commas and punctuation marks within sentences

    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
    uggest
    -0.66
    iciency
    -0.64
    ellar
    -0.62
    Override
    -0.61
    vre
    -0.61
    ulz
    -0.60
    rir
    -0.59
    oes
    -0.58
    ica
    -0.58
    hov
    -0.58
    POSITIVE LOGITS
     albeit
    1.10
    albeit
    0.78
     presumably
    0.77
     unarmed
    0.73
     unsuccessfully
    0.73
    successfully
    0.72
     gasp
    0.70
    mostly
    0.70
    literally
    0.68
     peacefully
    0.65
    Activations Density 0.425%

    No Known Activations