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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. 22866
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    INDEX
    Explanations

    technical terms and actions related to warfare and combat

    oai_token-act-pair · gpt-3.5-turbo

    actions and verbs related to social interactions and events

    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
    initions
    -0.68
    },{"
    -0.67
     Anger
    -0.64
    olutions
    -0.64
     msec
    -0.62
    deals
    -0.62
     Borders
    -0.61
     Curve
    -0.60
    iage
    -0.59
     Efficiency
    -0.58
    POSITIVE LOGITS
    ed
    1.41
    ing
    1.39
    lessly
    1.29
    ned
    1.22
    edly
    1.21
    ioned
    1.19
    less
    1.18
    ning
    1.18
    lled
    1.16
    edIn
    1.14
    Activations Density 0.302%

    No Known Activations