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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
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    Explanations

    the word "common" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "common" and related phrases describing frequency or typicality

    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
    usalem
    -0.80
     fres
    -0.78
    owell
    -0.75
    zik
    -0.74
    atever
    -0.72
    =-=-
    -0.69
    ignt
    -0.69
    ophon
    -0.69
    paio
    -0.66
    heed
    -0.66
    POSITIVE LOGITS
    wealth
    1.05
    places
    1.04
     occurrences
    1.04
     occurrence
    1.03
     denomin
    0.93
    pmwiki
    0.93
    entimes
    0.89
    alities
    0.87
    place
    0.86
    ensical
    0.86
    Activations Density 0.058%

    No Known Activations