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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. 2-RES-JB
    11. 18392
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    Explanations

    references to experienced and skilled individuals, particularly in the context of certain fields or professions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "veteran" and its related usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.84
    efficients
    -0.84
    alter
    -0.84
    slow
    -0.78
    laws
    -0.77
     lapt
    -0.76
    perm
    -0.75
    enza
    -0.75
    matic
    -0.74
     athlet
    -0.71
    POSITIVE LOGITS
     veteran
    0.97
     Veteran
    0.97
     veterans
    0.92
     vets
    0.81
     Veterans
    0.79
    TAIN
    0.79
    Veter
    0.78
     widow
    0.74
    naire
    0.67
    ãĤ©
    0.63
    Activations Density 0.010%

    No Known Activations