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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. 11-RES-JB
    11. 5632
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    Explanations

    action or movement related words, particularly walking, standing, and hidden

    oai_token-act-pair · gpt-3.5-turbo

    verbs and gerunds related to physical action or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    come
    -0.91
    coni
    -0.80
    metic
    -0.77
    raising
    -0.77
    nery
    -0.75
    byss
    -0.74
    ending
    -0.73
    rez
    -0.73
    educ
    -0.73
    imb
    -0.73
    POSITIVE LOGITS
     Stones
    0.93
     monkeys
    0.75
     stones
    0.75
     Ducks
    0.74
     sickness
    0.73
     encyclopedia
    0.73
     duck
    0.72
     Squid
    0.71
     corpse
    0.71
     ducks
    0.70
    Activations Density 0.130%

    No Known Activations