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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. 11-RES-JB
    11. 6484
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    INDEX
    Explanations

    positive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    cohesive phrases that express simplicity and positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.80
    apor
    -0.78
    pta
    -0.78
    egu
    -0.77
    ulkan
    -0.76
    imum
    -0.75
    EStream
    -0.74
    regate
    -0.74
    oubted
    -0.73
    rongh
    -0.72
    POSITIVE LOGITS
     hilarious
    1.21
     funny
    1.14
     scary
    1.14
     enjoyable
    1.09
     informative
    1.09
     incredibly
    1.09
     adorable
    1.08
     addictive
    1.08
     fascinating
    1.07
     catchy
    1.05
    Activations Density 0.230%

    No Known Activations