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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. 8720
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    Explanations

    phrases related to specific technical terms like biological patterns, computer file types, and complex processes

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols used in various contexts

    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
    ãĥ¤
    -0.66
     Summer
    -0.60
     Majesty
    -0.60
     Zig
    -0.60
    ãĥ´
    -0.59
     Lump
    -0.58
     Pilgrim
    -0.57
     Gleaming
    -0.56
     Worst
    -0.56
    APTER
    -0.56
    POSITIVE LOGITS
    containing
    0.91
    of
    0.88
    that
    0.76
     belonging
    0.76
     pertaining
    0.76
     emanating
    0.75
    into
    0.75
     comprising
    0.75
     arising
    0.74
    behind
    0.73
    Activations Density 0.268%

    No Known Activations