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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. 6-RES-JB
    11. 15083
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    Explanations

    references or mentions of the letter "Q" followed by a number, such as "Q9" or "Q10"

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter "Q" in various contexts

    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
    fulness
    -0.78
    ufact
    -0.78
    wagen
    -0.72
     Awakens
    -0.71
     Lauder
    -0.68
    weights
    -0.67
     Nadu
    -0.67
    éĹĺ
    -0.66
     fullest
    -0.63
     turf
    -0.62
    POSITIVE LOGITS
    UE
    1.09
    WER
    1.01
    ued
    1.01
    ues
    0.98
    addafi
    0.95
    atari
    0.93
    ubes
    0.90
    ihu
    0.86
    atar
    0.84
    iry
    0.84
    Activations Density 0.023%

    No Known Activations