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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. 10-RES-JB
    11. 783
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    Explanations

    references to annual events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to annual events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wright
    -0.80
    enes
    -0.78
    agra
    -0.74
    hammad
    -0.73
    enton
    -0.71
    holes
    -0.69
    cells
    -0.67
    ocrates
    -0.65
    UTF
    -0.65
    ennett
    -0.64
    POSITIVE LOGITS
    ized
    1.22
    ised
    0.93
    ization
    0.82
     occurrence
    0.81
     pilgrimage
    0.80
     Sunshine
    0.79
     turnover
    0.77
     appropriation
    0.77
     dues
    0.76
     roundup
    0.75
    Activations Density 0.030%

    No Known Activations