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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    instances of the word "warrior"

    oai_token-act-pair · gpt-3.5-turbo

    references to warriors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.84
    alez
    -0.78
    infeld
    -0.77
    elong
    -0.72
    election
    -0.72
    upon
    -0.70
    ococ
    -0.69
    oard
    -0.68
    perature
    -0.67
    perm
    -0.66
    POSITIVE LOGITS
    riors
    1.34
    rior
    1.29
     warrior
    1.09
     warriors
    1.08
     Warrior
    1.07
    culus
    0.86
    llan
    0.81
    ¯¯¯¯¯¯¯¯
    0.80
    ¯¯¯¯
    0.79
     Warriors
    0.72
    Activations Density 0.008%

    No Known Activations