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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. 7-RES-JB
    6. 4166
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    Explanations

    phrases related to expert recommendations or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to recommendations and evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctor
    -0.72
    ogg
    -0.69
    ãĤ¤ãĥĪ
    -0.68
    cius
    -0.68
     Sabb
    -0.68
    ãĥĩãĤ£
    -0.68
    KK
    -0.67
    Ub
    -0.66
    cler
    -0.66
    ocy
    -0.66
    POSITIVE LOGITS
     for
    0.96
     FOR
    0.84
    for
    0.79
     overboard
    0.71
     agre
    0.70
     lawy
    0.70
    FOR
    0.70
    abase
    0.70
    ioned
    0.67
    anwhile
    0.66
    Activations Density 0.169%

    No Known Activations