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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. 2-RES-JB
    11. 676
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    Explanations

    the word "dirt"

    oai_token-act-pair · gpt-4-turbo

    words related to dirt or soil

    oai_token-act-pair · gpt-3.5-turbo

    instances and references to dirt or soil

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itals
    -0.76
    ofi
    -0.70
    eer
    -0.67
    ONT
    -0.65
    ommod
    -0.65
    emic
    -0.65
    inion
    -0.64
    WER
    -0.63
     Osw
    -0.63
    inel
    -0.62
    POSITIVE LOGITS
     dirt
    1.16
    bags
    1.06
    bag
    1.01
     Dirt
    0.97
    bike
    0.85
     mole
    0.82
    iest
    0.80
     lodge
    0.80
    tops
    0.79
     oxide
    0.77
    Activations Density 0.006%

    No Known Activations