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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. 8-RES-JB
    11. 24252
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    Explanations

    words related to physical or mechanical processes, possibly involving instructions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, wellness, or medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiIcon
    -0.73
     surv
    -0.63
     accomp
    -0.63
     constitu
    -0.63
     Mich
    -0.62
     administ
    -0.61
     Debor
    -0.60
    icably
    -0.60
     citiz
    -0.59
     concess
    -0.59
    POSITIVE LOGITS
    down
    1.21
    ings
    1.17
    back
    1.12
    weed
    1.06
    pipe
    1.03
    tails
    1.02
    away
    1.01
    worms
    1.01
    BACK
    1.01
    stakes
    1.01
    Activations Density 0.295%

    No Known Activations