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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. 7-RES-JB
    11. 7217
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    Explanations

    words that indicate references or mentions, such as 'referred to' or 'as.'

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alde
    -0.77
    oval
    -0.70
    iasm
    -0.69
     pitted
    -0.67
    PLIED
    -0.66
    iem
    -0.65
    ï¸ı
    -0.63
    ilon
    -0.63
     ende
    -0.63
    pite
    -0.63
    POSITIVE LOGITS
     initials
    0.77
    ãĥ¼ãĥ³
    0.72
     names
    0.65
     them
    0.64
     è£ı
    0.64
     Hud
    0.62
     "-
    0.61
    =\"
    0.61
     Him
    0.61
     abbrevi
    0.60
    Activations Density 0.048%

    No Known Activations