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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. 4-RES-JB
    11. 7107
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    Explanations

    phrases where someone is asserting or emphasizing a statement

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing belief or trust in statements

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

    No Comments

    Negative Logits
    fax
    -0.72
    backer
    -0.69
    ific
    -0.65
    quit
    -0.65
    fix
    -0.64
    ãĤĵ
    -0.64
    hyde
    -0.63
    bats
    -0.62
     mail
    -0.61
     cort
    -0.60
    POSITIVE LOGITS
    uala
    0.74
    eele
    0.73
     independence
    0.71
     integrity
    0.71
    ournal
    0.70
     motives
    0.67
     Religion
    0.67
     sincerity
    0.67
     Citiz
    0.66
     authenticity
    0.65
    Activations Density 0.160%

    No Known Activations