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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. 12763
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    Explanations

    numbers, statistics, and technical details

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and data representations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    anooga
    -0.83
    querque
    -0.79
     arming
    -0.73
    efully
    -0.68
    iqu
    -0.66
    ionics
    -0.64
    ongh
    -0.62
    artisan
    -0.61
    essen
    -0.60
     fear
    -0.59
    POSITIVE LOGITS
    GMT
    1.23
     ILCS
    1.05
    mAh
    1.04
     MHz
    1.03
    MHz
    1.01
    çĶ°
    0.97
     GMT
    0.95
    576
    0.93
    bps
    0.91
    806
    0.88
    Activations Density 0.072%

    No Known Activations