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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. 1097
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    INDEX
    Explanations

    phrases indicating future events or plans

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "be" in various forms and contexts

    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
     Bars
    -0.67
    might
    -0.65
     Genius
    -0.64
    onic
    -0.64
    usc
    -0.63
    arming
    -0.63
    orem
    -0.63
     Oops
    -0.62
    emonic
    -0.62
     sickness
    -0.61
    POSITIVE LOGITS
     able
    1.10
     rewarded
    1.05
     judged
    0.97
    fitting
    0.95
     replaced
    0.93
     remembered
    0.93
    heading
    0.90
     phased
    0.90
     subjected
    0.89
    ige
    0.89
    Activations Density 0.177%

    No Known Activations