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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. 6-RES-JB
    6. 11072
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    INDEX
    Explanations

    phrases emphasizing importance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cies
    -0.72
    ells
    -0.71
    thood
    -0.70
    mares
    -0.70
    each
    -0.68
    craft
    -0.68
    js
    -0.67
    ersen
    -0.66
     besides
    -0.66
    sch
    -0.65
    POSITIVE LOGITS
     easiest
    1.31
     culmination
    1.21
     simplest
    1.19
     same
    1.19
     strongest
    1.18
     greatest
    1.16
     hardest
    1.15
     largest
    1.14
     cheapest
    1.13
     biggest
    1.12
    Activations Density 0.200%

    No Known Activations