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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. 15956
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    Explanations

    names and words containing "er" or "es" letters with high activation

    oai_token-act-pair · gpt-3.5-turbo

    plural noun forms and certain suffixes that indicate various attributes

    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
     EDITION
    -0.64
    DERR
    -0.64
    é¾į
    -0.63
    upon
    -0.63
     minded
    -0.62
    avorite
    -0.60
    pants
    -0.60
    å§«
    -0.60
     tunes
    -0.59
    DOWN
    -0.57
    POSITIVE LOGITS
    ching
    0.87
    hiba
    0.82
    iency
    0.82
    cil
    0.78
    ience
    0.77
    idian
    0.75
    cher
    0.73
    itability
    0.72
    eto
    0.71
    isure
    0.71
    Activations Density 0.139%

    No Known Activations