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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 24558
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    Explanations

    the smell or sound of items or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions involving various senses and their associations

    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
    UX
    -0.86
    LY
    -0.81
    Merit
    -0.80
    SIZE
    -0.77
    ially
    -0.77
    ETF
    -0.77
    iques
    -0.75
    legal
    -0.74
    Matrix
    -0.74
    imens
    -0.73
    POSITIVE LOGITS
     torches
    0.82
     steel
    0.77
     sunlight
    0.75
     thunder
    0.74
     darkness
    0.73
     helicopters
    0.73
     daylight
    0.71
     desperation
    0.70
     herbs
    0.69
     youth
    0.69
    Activations Density 0.173%

    No Known Activations