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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. 11-RES-JB
    11. 4191
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    Explanations

    references to specific time periods or events

    oai_token-act-pair · gpt-3.5-turbo

    references to media formats and time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.67
     Cosponsors
    -0.61
    mith
    -0.61
    aution
    -0.58
    rase
    -0.55
     Canaveral
    -0.55
    nikov
    -0.55
    uador
    -0.55
    cause
    -0.55
    anol
    -0.54
    POSITIVE LOGITS
     continuum
    0.69
     (~
    0.66
    ilogy
    0.63
     cycle
    0.63
     countdown
    0.61
    clock
    0.60
     devoted
    0.59
     spectrum
    0.58
     trilogy
    0.57
     standings
    0.57
    Activations Density 0.314%

    No Known Activations