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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. 8-RES-JB
    6. 23192
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    INDEX
    Explanations

    proper nouns or names of entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a group or a collective entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anytime
    -0.69
    ario
    -0.65
    rification
    -0.61
    ober
    -0.60
     translates
    -0.60
    ysc
    -0.59
    culosis
    -0.58
    olation
    -0.58
     introduction
    -0.58
     commute
    -0.57
    POSITIVE LOGITS
     those
    0.81
    ĪĴ
    0.73
    IJ
    0.72
     casualties
    0.71
    those
    0.71
     whom
    0.66
    Sources
    0.66
    addons
    0.66
     innumerable
    0.66
    stad
    0.64
    Activations Density 0.028%

    No Known Activations