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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
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    Explanations

    names with the letters "Koh" in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual named Koh

    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
    xual
    -0.94
    */(
    -0.82
    opausal
    -0.72
     Alz
    -0.72
     Defenders
    -0.69
    flies
    -0.68
    conserv
    -0.67
     balloons
    -0.66
    etimes
    -0.66
    ngth
    -0.65
    POSITIVE LOGITS
    lyak
    0.98
     Koh
    0.95
    aku
    0.87
    istani
    0.84
    sten
    0.83
    tag
    0.82
    len
    0.81
    wan
    0.79
    wal
    0.76
    kus
    0.75
    Activations Density 0.009%

    No Known Activations