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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. 8-RES-JB
    6. 14757
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    INDEX
    Explanations

    mentions of things that are soft

    oai_token-act-pair · gpt-3.5-turbo

    terms related to softness or non-aggressive attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agher
    -0.76
    reon
    -0.74
    OUGH
    -0.68
     Ancients
    -0.68
    ulhu
    -0.67
    naires
    -0.66
     Pax
    -0.64
     Emir
    -0.63
     Forever
    -0.62
    uate
    -0.62
    POSITIVE LOGITS
    ball
    1.17
    ener
    1.16
    ening
    1.14
    hearted
    1.03
    cover
    1.02
    eners
    0.98
     palate
    0.93
    balls
    0.92
    ened
    0.87
    ens
    0.86
    Activations Density 0.022%

    No Known Activations