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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. 9-RES-JB
    11. 18542
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    Explanations

    mentions of the term "Mac" followed by a proper noun, particularly related to a person

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Mac," particularly in various contexts related to television and film

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.69
    uated
    -0.65
    ãĥĦ
    -0.64
    ãĥĥãĥĪ
    -0.64
    ctr
    -0.63
     sidx
    -0.63
     Tend
    -0.63
     NETWORK
    -0.61
    idy
    -0.60
    ICLE
    -0.60
    POSITIVE LOGITS
    intosh
    1.34
    donald
    1.22
    abre
    1.16
    Leod
    1.04
    pher
    1.01
    lean
    0.98
    Gy
    0.98
    artney
    0.98
    Kay
    0.98
    Lean
    0.95
    Activations Density 0.018%

    No Known Activations