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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1317
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    INDEX
    Explanations

    adjectives describing size, specifically emphasizing largeness

    oai_token-act-pair · gpt-3.5-turbo

    adjectives indicating size or magnitude

    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
    imester
    -0.85
    agonists
    -0.80
    METHOD
    -0.80
    gemony
    -0.79
    idays
    -0.79
    rosso
    -0.77
    SPONSORED
    -0.75
    termination
    -0.75
    nces
    -0.74
    qqa
    -0.74
    POSITIVE LOGITS
     wooden
    1.22
     boulder
    1.18
     chunk
    1.16
     rectangular
    1.14
     pile
    1.09
     oval
    1.06
     circular
    1.05
     rectangle
    1.04
     cardboard
    1.03
     slab
    1.02
    Activations Density 0.103%

    No Known Activations