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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. 17892
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    Explanations

    words related to numbers presented in the context of the popularity or participation of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to large groups of people or attendance numbers

    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
    inventoryQuantity
    -1.04
    asso
    -0.68
    Trivia
    -0.67
    anny
    -0.66
    dar
    -0.64
    Appearance
    -0.63
    Malley
    -0.63
    anges
    -0.63
    Certain
    -0.63
    urrection
    -0.62
    POSITIVE LOGITS
     varying
    0.86
     collectively
    0.83
     converge
    0.74
     total
    0.73
     cumulative
    0.72
     ranging
    0.71
     nationwide
    0.70
     crammed
    0.68
     annually
    0.68
     respectively
    0.68
    Activations Density 0.477%

    No Known Activations