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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. 1-RES-JB
    11. 22723
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    Explanations

    words related to strict rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to restrictions and limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bye
    -0.61
     Inst
    -0.59
    INTER
    -0.58
     ceremony
    -0.58
     Khe
    -0.58
     promise
    -0.57
     semester
    -0.57
     Xi
    -0.57
     lofty
    -0.57
     Yok
    -0.56
    POSITIVE LOGITS
    rict
    1.52
    ricted
    1.11
    ricting
    1.10
    ombat
    0.99
    avorite
    0.98
    ory
    0.96
    ipation
    0.95
    ions
    0.93
    icult
    0.93
    rued
    0.92
    Activations Density 0.010%

    No Known Activations