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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 972
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    Explanations

    mentions of parts, shares, or quantities of something

    oai_token-act-pair · gpt-3.5-turbo

    references to fractions or segments of items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fighters
    -0.71
    Trend
    -0.68
    generic
    -0.68
    verbs
    -0.67
    ATHER
    -0.65
    raid
    -0.63
    lear
    -0.61
    æ©
    -0.59
    Iran
    -0.59
    friends
    -0.59
    POSITIVE LOGITS
     thereof
    1.05
    meal
    0.79
     portions
    0.77
    edly
    0.76
    ials
    0.76
     ILCS
    0.73
    itol
    0.73
    xual
    0.72
    icularly
    0.71
    xit
    0.70
    Activations Density 0.013%

    No Known Activations