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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. 8-RES-JB
    11. 8388
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    Explanations

    phrases that express personal preferences or reactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "when" indicating conditions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.71
    hole
    -0.69
    zzi
    -0.66
    hazard
    -0.65
    plus
    -0.64
    dain
    -0.63
    kaya
    -0.63
    agin
    -0.62
    alin
    -0.62
    rolet
    -0.62
    POSITIVE LOGITS
    soever
    1.02
     someone
    0.99
     somebody
    0.92
     confronted
    0.90
     faced
    0.84
     people
    0.78
     encountering
    0.77
    ipl
    0.76
     you
    0.76
    ce
    0.74
    Activations Density 0.125%

    No Known Activations