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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
    11. 10509
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    Explanations

    specific nouns related to various fields such as schooling, chemistry, and arts

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns that reference entities or objects within a variety of contexts

    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
    lip
    -0.85
    aft
    -0.83
    ync
    -0.79
    qua
    -0.78
    ecause
    -0.77
    oup
    -0.75
    ythm
    -0.73
    cale
    -0.72
    ftime
    -0.71
    pless
    -0.71
    POSITIVE LOGITS
    holders
    0.90
     count
    0.80
     IDs
    0.79
     registrations
    0.79
    yards
    0.78
    fleet
    0.77
    Types
    0.77
    Names
    0.76
     designation
    0.76
    holder
    0.76
    Activations Density 0.810%

    No Known Activations