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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. 19441
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    Explanations

    words related to labeling, naming, or identifying

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "call" and its variations in the context of naming or labeling

    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
    bilt
    -0.74
     istg
    -0.67
     mathemat
    -0.67
     conclud
    -0.65
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
    olitics
    -0.62
     compr
    -0.60
    isphere
    -0.59
    ynski
    -0.57
    oiler
    -0.57
    POSITIVE LOGITS
    igraph
    1.08
     attention
    1.00
    ously
    0.92
     bullshit
    0.89
    oused
    0.89
     bluff
    0.86
     forth
    0.86
    backs
    0.84
    aghan
    0.81
    phas
    0.80
    Activations Density 0.057%

    No Known Activations