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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. 1-RES-JB
    6. 11843
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    INDEX
    Explanations

    mentions of buttons

    oai_token-act-pair · gpt-3.5-turbo

    references to physical buttons on devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INAL
    -0.78
    athan
    -0.77
    yss
    -0.77
    EG
    -0.76
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.76
    ×
    -0.71
    EEE
    -0.71
    sted
    -0.69
    ENCE
    -0.69
    noon
    -0.68
    POSITIVE LOGITS
     buttons
    1.14
    heet
    1.07
    mith
    1.04
    uits
    1.03
    paces
    0.97
    pace
    0.96
    pins
    0.95
    uggest
    0.95
    hooting
    0.94
    peed
    0.93
    Activations Density 0.022%

    No Known Activations