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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. 4765
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    Explanations

    words related to the sense of taste or flavor

    oai_token-act-pair · gpt-3.5-turbo

    terms related to saving or preservation

    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
     filings
    -0.68
    ©¶æ
    -0.63
     lid
    -0.59
    quartered
    -0.58
     Tale
    -0.58
     Institution
    -0.58
    Closure
    -0.58
     DeVos
    -0.57
     conversions
    -0.57
     Akin
    -0.57
    POSITIVE LOGITS
    iour
    1.14
    orous
    1.13
    urable
    1.02
    oured
    1.01
    ouring
    1.00
    iors
    0.98
    annah
    0.97
    orial
    0.95
    itives
    0.95
    ournal
    0.95
    Activations Density 0.039%

    No Known Activations