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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. 1-RES-JB
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    Explanations

    mentions of hamburgers

    oai_token-act-pair · gpt-3.5-turbo

    references to hamburgers and indiscriminate actions or qualities

    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
    kie
    -0.85
    terday
    -0.84
    sembly
    -0.79
    ngth
    -0.78
    kies
    -0.77
    MENTS
    -0.76
    OHN
    -0.76
    nder
    -0.75
    smanship
    -0.71
    nces
    -0.70
    POSITIVE LOGITS
    urger
    1.03
    ulated
    0.82
    alm
    0.80
    alist
    0.78
    odied
    0.78
    al
    0.78
    ount
    0.76
    andon
    0.74
     Hamb
    0.72
    alo
    0.72
    Activations Density 0.018%

    No Known Activations