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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. 19044
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    INDEX
    Explanations

    positive terms or mentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive sentiment or outcomes

    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
    puter
    -0.90
    ometimes
    -0.84
    uble
    -0.82
    appings
    -0.82
    plain
    -0.81
    ngth
    -0.79
    ptin
    -0.79
    oths
    -0.79
    alus
    -0.79
    hower
    -0.77
    POSITIVE LOGITS
     reinforcement
    1.19
     feedback
    1.07
     outcome
    0.97
     vib
    0.96
     outlook
    0.94
     appraisal
    0.93
     outcomes
    0.91
     attitude
    0.91
     affirmation
    0.91
     affirm
    0.89
    Activations Density 0.038%

    No Known Activations