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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. 1-RES-JB
    11. 2224
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    INDEX
    Explanations

    adjectives intensifying a positive attribute

    oai_token-act-pair · gpt-3.5-turbo

    the word "very" and its emphasis in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.78
    adelphia
    -0.76
    aneers
    -0.73
    oran
    -0.67
    atown
    -0.67
    iture
    -0.67
     Extensions
    -0.65
     Releases
    -0.65
    eria
    -0.64
    olor
    -0.64
    POSITIVE LOGITS
     rare
    0.96
     informative
    0.83
     important
    0.83
     interesting
    0.79
     difficult
    0.78
     unusual
    0.77
     careful
    0.77
     exciting
    0.76
     suspic
    0.75
     expensive
    0.75
    Activations Density 0.046%

    No Known Activations