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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. 7290
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    INDEX
    Explanations

    numerical information like rankings, statistics, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to new information or lessons learned

    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
    ancial
    -0.71
    sonian
    -0.67
    umeric
    -0.65
    tle
    -0.65
    ailability
    -0.65
    common
    -0.63
    igion
    -0.61
    heit
    -0.60
    tal
    -0.60
    soType
    -0.59
    POSITIVE LOGITS
     visit
    0.92
     outing
    0.90
     trip
    0.87
    trip
    0.82
     playthrough
    0.81
     ordeal
    0.80
     filming
    0.79
     incident
    0.76
     session
    0.75
    whelming
    0.74
    Activations Density 0.996%

    No Known Activations