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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. 2469
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    Explanations

    the word "know"

    oai_token-act-pair · gpt-3.5-turbo
    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
    ishable
    -0.66
    ounters
    -0.63
    oided
    -0.62
     exting
    -0.61
     Brus
    -0.61
    jam
    -0.60
    attery
    -0.59
    Zone
    -0.59
    isco
    -0.59
    tailed
    -0.58
    POSITIVE LOGITS
     why
    1.15
     how
    1.14
     whether
    1.12
     exactly
    1.05
     what
    0.98
    why
    0.96
     WHY
    0.94
     anymore
    0.91
     whats
    0.88
     enough
    0.84
    Activations Density 0.049%

    No Known Activations