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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    terms related to the name "Walker", particularly the specific context of "John Walker Lindh"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Walker."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anges
    -0.85
    Asia
    -0.84
    IENT
    -0.74
     seafood
    -0.73
     modem
    -0.73
     orig
    -0.69
     Malays
    -0.69
     jew
    -0.68
     subsequ
    -0.68
     Kuala
    -0.67
    POSITIVE LOGITS
     Walker
    3.88
    Walker
    3.08
    walker
    1.43
    Wisconsin
    1.38
     Wisconsin
    1.35
     Madison
    1.27
     Christie
    1.23
     Weaver
    1.22
    waukee
    1.19
     Barrett
    1.19
    Activations Density 0.015%

    No Known Activations