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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. 7-RES-JB
    11. 14432
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    Explanations

    the word "har" with different intensities or contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "har" and related terms that might signify locations or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    htaking
    -0.89
    BOOK
    -0.83
    urally
    -0.78
    lect
    -0.78
    essee
    -0.77
    enhagen
    -0.71
     fuzz
    -0.68
    olve
    -0.68
    erous
    -0.66
    psey
    -0.65
    POSITIVE LOGITS
    assment
    0.99
    allel
    0.96
    tha
    0.95
     Tsarnaev
    0.89
    vard
    0.89
    vati
    0.88
    rod
    0.86
    ttp
    0.85
    aja
    0.85
     ILCS
    0.83
    Activations Density 0.024%

    No Known Activations