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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. 2-RES-JB
    6. 12164
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    INDEX
    Explanations

    mentions of food items, locations, actions, and emotions

    oai_token-act-pair · gpt-3.5-turbo

    content related to regulations and rules within an industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.75
    racuse
    -0.72
    arcity
    -0.70
    ickr
    -0.70
    owler
    -0.68
    conn
    -0.68
    umenthal
    -0.67
    omsky
    -0.66
    ité
    -0.65
    ichick
    -0.64
    POSITIVE LOGITS
     LIMITED
    1.10
     EDITION
    1.03
    HEAD
    1.01
     OF
    0.95
    LY
    0.92
     PU
    0.91
     LTD
    0.90
    ADE
    0.88
     FROM
    0.88
     WITH
    0.88
    Activations Density 0.361%

    No Known Activations