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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. 10-RES-JB
    6. 11836
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    INDEX
    Explanations

    phrases indicating the speaker is emphasizing a particular statement

    oai_token-act-pair · gpt-3.5-turbo

    expressions of assertion or declaration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.81
    ickets
    -0.74
    isal
    -0.70
    oder
    -0.69
    ento
    -0.67
    iana
    -0.67
    kson
    -0.66
    osate
    -0.66
     ..........
    -0.66
    aspberry
    -0.66
    POSITIVE LOGITS
     kidding
    0.85
     understatement
    0.75
     coinc
    0.67
     plural
    0.66
     typo
    0.66
     initials
    0.64
     spoilers
    0.63
     anecdotal
    0.63
     countdown
    0.62
     \"
    0.62
    Activations Density 0.140%

    No Known Activations