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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. 7-RES-JB
    6. 3320
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    INDEX
    Explanations

    phrases related to identifying and addressing various needs

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of needs in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.80
    âĸ¬
    -0.66
     Bom
    -0.65
    onym
    -0.62
    thumbnails
    -0.62
    vind
    -0.62
     rabbit
    -0.61
    smoking
    -0.60
    uclear
    -0.59
    alty
    -0.59
    POSITIVE LOGITS
    lessly
    0.83
    cale
    0.83
    giving
    0.74
    afety
    0.73
    afe
    0.73
    igslist
    0.70
     dictate
    0.68
    ucker
    0.66
     constrained
    0.65
    pace
    0.64
    Activations Density 0.042%

    No Known Activations