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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 9617
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    INDEX
    Explanations

    words that are commonly used or found

    oai_token-act-pair · gpt-3.5-turbo

    the word "commonly" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.73
    ilion
    -0.71
     Fury
    -0.70
     Ole
    -0.68
     Equality
    -0.67
    jri
    -0.66
    utenberg
    -0.66
    anth
    -0.65
    anmar
    -0.65
    gur
    -0.64
    POSITIVE LOGITS
     abbrevi
    1.07
     referred
    1.03
    entimes
    1.02
     categorized
    0.95
     seen
    0.90
     encountered
    0.90
     regarded
    0.87
    ensical
    0.86
     known
    0.85
     mistaken
    0.85
    Activations Density 0.026%

    No Known Activations