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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. 5310
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    Explanations

    items in a list

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and pauses in text

    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
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    No Comments

    Negative Logits
    enth
    -0.80
    earth
    -0.69
     oneself
    -0.68
    vier
    -0.67
    iple
    -0.66
    mable
    -0.65
    unic
    -0.64
    gap
    -0.64
    emporary
    -0.64
    irection
    -0.64
    POSITIVE LOGITS
    PsyNetMessage
    0.81
     hers
    0.76
     albeit
    0.75
     habits
    0.72
     deeds
    0.71
     faculties
    0.71
     sensibilities
    0.70
     namely
    0.70
     however
    0.70
     which
    0.69
    Activations Density 0.484%

    No Known Activations