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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. 11-RES-JB
    11. 10208
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    Explanations

    references to locations or specific places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of New Zealand and related entities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gomery
    -0.86
    andowski
    -0.83
     §§
    -0.81
    §
    -0.80
     Toledo
    -0.79
     Astros
    -0.79
     Lansing
    -0.77
     Cavs
    -0.77
    Moscow
    -0.76
    Catal
    -0.74
    POSITIVE LOGITS
     Auckland
    2.40
    NZ
    2.37
     NZ
    2.36
     Kiw
    2.34
    uckland
    2.12
     Wellington
    2.03
     Zealand
    1.81
     Fiji
    1.64
    nz
    1.63
     Tasman
    1.62
    Activations Density 0.178%

    No Known Activations