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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. 20612
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    Explanations

    verbs and phrases indicating personal opinions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of intent or preference

    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
    meter
    -0.68
     Router
    -0.63
     Pis
    -0.62
     [+]
    -0.62
    ielding
    -0.60
    ItemTracker
    -0.60
    Links
    -0.60
     Flavoring
    -0.60
    natureconservancy
    -0.60
    catentry
    -0.58
    POSITIVE LOGITS
    ĸļ
    0.80
    icably
    0.73
    ividual
    0.68
    TRY
    0.67
    hyde
    0.66
    ERS
    0.64
     Bradford
    0.64
    erent
    0.63
    FER
    0.62
    initely
    0.62
    Activations Density 0.059%

    No Known Activations