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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. 9-RES-JB
    11. 10074
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    Explanations

    names of places or institutions containing the term "ham"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ham"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atively
    -0.74
    ahead
    -0.71
    enhagen
    -0.66
    REDACTED
    -0.64
    UCT
    -0.60
    iquid
    -0.60
    oday
    -0.60
    kef
    -0.59
    uary
    -0.59
    ATING
    -0.58
    POSITIVE LOGITS
    pton
    1.55
    mers
    1.39
    ilton
    1.24
    monds
    1.16
    sburg
    1.13
    ming
    1.10
    mond
    1.09
    MER
    1.06
    shire
    1.04
    med
    1.04
    Activations Density 0.061%

    No Known Activations