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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. 0-RES-JB
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    Explanations

    references to the name "Stan" followed by varying numbers

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Stan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ε
    -0.76
     leve
    -0.73
     ãĥ
    -0.71
     NX
    -0.69
    γ
    -0.69
     Ascend
    -0.69
    aligned
    -0.67
    alis
    -0.67
    aid
    -0.66
    ´
    -0.66
    POSITIVE LOGITS
     Stan
    3.72
    Stan
    2.59
    stan
    1.59
     Stanley
    1.38
     Carl
    1.22
     Stanford
    1.18
     Sno
    1.15
     Brad
    1.09
     Wally
    1.09
     Coul
    1.05
    Activations Density 0.016%

    No Known Activations