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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

    proper nouns related to companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Works," indicating various organizations, entities, or projects associated with that word

    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
    Cath
    -0.74
    roy
    -0.71
    odder
    -0.68
     cardinal
    -0.68
     toast
    -0.64
    asar
    -0.61
    judicial
    -0.61
    arta
    -0.61
     indec
    -0.60
     priests
    -0.60
    POSITIVE LOGITS
    hops
    1.63
    works
    1.22
    Works
    1.19
    pace
    1.12
    paces
    1.10
    hirt
    0.95
     Works
    0.94
    bench
    0.86
     Cosponsors
    0.83
    hop
    0.83
    Activations Density 0.010%

    No Known Activations