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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. 1398
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    Explanations

    objects or entities that are of interest or relevance in a given context

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to animals and objects

    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
    Beer
    -0.80
     Dhabi
    -0.75
     Beer
    -0.71
    iband
    -0.70
     "$:/
    -0.70
    20439
    -0.67
    Music
    -0.64
    pmwiki
    -0.64
     Comics
    -0.62
     Music
    -0.62
    POSITIVE LOGITS
     contained
    0.75
    fighter
    0.73
     survived
    0.71
     belonged
    0.70
     transported
    0.68
     weighed
    0.67
     exhibited
    0.65
     pictured
    0.64
    fighters
    0.64
     discharged
    0.64
    Activations Density 0.481%

    No Known Activations