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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. 1-RES-JB
    11. 3401
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    Explanations

    instances of text containing specific symbols or characters

    oai_token-act-pair · gpt-3.5-turbo

    repeated special characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.76
    hare
    -0.73
    matic
    -0.67
     similarities
    -0.66
     gist
    -0.63
    orial
    -0.63
     primates
    -0.63
    tone
    -0.62
     partnerships
    -0.61
     suit
    -0.60
    POSITIVE LOGITS
    âĶĢâĶĢ
    1.17
    ľ
    1.11
    ĸ
    0.93
    ļ
    0.93
    ª
    0.93
    âĶĢâĶĢâĶĢâĶĢ
    0.92
    Ĺ
    0.90
    ¼
    0.90
    ¸
    0.89
    Ĭ
    0.86
    Activations Density 0.256%

    No Known Activations