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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. 9-RES-JB
    6. 4476
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    INDEX
    Explanations

    phrases related to sports teams and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific characters or letters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refrain
    -0.64
    stellar
    -0.63
     retract
    -0.62
     pac
    -0.61
     Feder
    -0.61
     transitional
    -0.60
     flu
    -0.59
     upfront
    -0.59
     Trin
    -0.59
     reception
    -0.58
    POSITIVE LOGITS
    ageddon
    0.96
    akery
    0.93
    ackers
    0.91
    akers
    0.91
    acker
    0.90
    utters
    0.89
    ights
    0.88
    angers
    0.87
    igs
    0.86
    atcher
    0.86
    Activations Density 0.110%

    No Known Activations