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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
    11. 3548
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    INDEX
    Explanations

    sequences of miscellaneous characters and possibly numeric values

    oai_token-act-pair · gpt-3.5-turbo

    numerical or statistical representations

    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
    ãĥ¼ãĥĨãĤ£
    -0.80
     glim
    -0.80
     warr
    -0.74
     Torch
    -0.67
     Creep
    -0.66
     encount
    -0.66
    glers
    -0.65
     oddly
    -0.62
    isode
    -0.62
     overhe
    -0.62
    POSITIVE LOGITS
    á¸
    1.00
     Paragu
    0.80
     Regist
    0.79
    Å¡
    0.77
    á¹
    0.77
     Å
    0.76
    hens
    0.75
    és
    0.75
    ç
    0.73
    ÃŁ
    0.73
    Activations Density 0.414%

    No Known Activations