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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. 19512
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    INDEX
    Explanations

    terms related to focusing on specific details or examination at a close range

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "close" and its variations

    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
    AIN
    -0.84
    schild
    -0.67
     Pengu
    -0.64
     Rosenstein
    -0.64
    ICAN
    -0.63
    onne
    -0.62
     Kamp
    -0.62
     Frie
    -0.62
    Sov
    -0.61
    STE
    -0.61
    POSITIVE LOGITS
     proximity
    1.05
     examination
    0.91
     shave
    0.90
    ups
    0.90
     inspection
    0.89
    eness
    0.89
    paren
    0.88
     scrutiny
    0.87
     approximation
    0.84
     resemblance
    0.83
    Activations Density 0.025%

    No Known Activations