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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. 3-RES-JB
    11. 3714
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    Explanations

    mentions of specific abbreviations or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    acronyms or abbreviations commonly used in discussions or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andowski
    -0.89
    atom
    -0.79
    sburgh
    -0.77
    enberg
    -0.75
    wich
    -0.75
    hold
    -0.75
    iform
    -0.74
    aic
    -0.73
    enko
    -0.72
    alty
    -0.70
    POSITIVE LOGITS
    TF
    1.09
    OG
    1.09
    JD
    1.09
    TC
    1.06
    OB
    1.05
    ONY
    1.05
    RC
    1.05
    FG
    1.05
    WD
    1.04
    UGE
    1.03
    Activations Density 0.040%

    No Known Activations