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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. 16844
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    Explanations

    proper nouns and compound words

    oai_token-act-pair · gpt-3.5-turbo

    themes related to contemporary societal issues

    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
    orsi
    -0.67
    apers
    -0.62
     Flavoring
    -0.60
    orer
    -0.60
    DJ
    -0.60
    oths
    -0.59
    cients
    -0.58
    ifact
    -0.58
    ient
    -0.58
    ourge
    -0.56
    POSITIVE LOGITS
     guise
    1.09
     increments
    1.06
     vein
    1.01
     vicinity
    0.95
     circles
    0.93
     manner
    0.92
     midst
    0.89
     nutshell
    0.88
     contexts
    0.88
     mode
    0.86
    Activations Density 1.096%

    No Known Activations