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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. 0-RES-JB
    11. 5112
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    Explanations

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical terms and references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.77
     Hayward
    -0.76
    oots
    -0.76
     Everett
    -0.73
    hower
    -0.73
    Gay
    -0.72
     Cloud
    -0.71
    Beck
    -0.71
     Snowden
    -0.71
    ilers
    -0.71
    POSITIVE LOGITS
     num
    3.39
    num
    3.23
     Num
    2.83
    Num
    2.66
    NUM
    2.25
     NUM
    1.90
     numer
    1.73
    gio
    1.19
     numeric
    1.14
    Number
    1.05
    Activations Density 0.031%

    No Known Activations