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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. 9-RES-JB
    6. 18908
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    INDEX
    Explanations

    numerical data related to measurements and statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistical information related to age, weight, or measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     volley
    -0.68
     therap
    -0.65
     barking
    -0.63
     crashing
    -0.63
     rigged
    -0.63
     polymorph
    -0.62
     fertil
    -0.62
     Brach
    -0.61
     leveled
    -0.61
     speeding
    -0.61
    POSITIVE LOGITS
     Requires
    0.94
     Contains
    0.83
     Measures
    0.82
     Includes
    0.81
     Tags
    0.79
     Downloads
    0.78
     Date
    0.78
     Height
    0.77
    <|endoftext|>
    0.77
     Availability
    0.77
    Activations Density 0.195%

    No Known Activations