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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. 3-RES-JB
    11. 251
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with individuals or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uesday
    -0.68
     Ae
    -0.65
     amnesty
    -0.63
     sudden
    -0.62
     procedural
    -0.62
     Bulgar
    -0.62
     closure
    -0.61
     Asc
    -0.60
     Balk
    -0.60
     derog
    -0.59
    POSITIVE LOGITS
    intosh
    1.03
    enzie
    0.89
    cheon
    0.85
    lees
    0.82
    lain
    0.82
    SHA
    0.82
    neys
    0.81
    rules
    0.81
    ney
    0.78
    vre
    0.75
    Activations Density 0.092%

    No Known Activations