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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. 6-RES-JB
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    Explanations

    references to the location "Pearl Harbor"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Pearl" and related references to Pearl Harbor

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.72
    olved
    -0.71
    isSpecialOrderable
    -0.70
    CHA
    -0.69
    astical
    -0.68
    roman
    -0.68
    olutions
    -0.68
    ospons
    -0.67
    ork
    -0.67
    rom
    -0.66
    POSITIVE LOGITS
    ners
    0.82
    ific
    0.78
    ipment
    0.74
    NING
    0.74
    nings
    0.74
    inez
    0.73
     Pearl
    0.71
    ney
    0.70
    ridge
    0.68
     Harbor
    0.66
    Activations Density 0.052%

    No Known Activations