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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. 4047
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    Explanations

    terms related to interactions or negotiations with various types of individuals or groups, such as agents, activists, executives, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of people involved in significant actions or roles

    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
    yss
    -0.71
    Pg
    -0.68
    OUS
    -0.65
     awa
    -0.63
    inventoryQuantity
    -0.63
     streng
    -0.62
    ":"/
    -0.61
    STON
    -0.58
     acknow
    -0.58
    STAT
    -0.58
    POSITIVE LOGITS
    hips
    1.13
     alike
    1.10
    hip
    1.03
     who
    1.03
     whom
    0.94
    ervatives
    0.90
    hops
    0.88
    paces
    0.85
    folk
    0.81
    clave
    0.78
    Activations Density 0.339%

    No Known Activations