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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. 9572
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    Explanations

    verbs related to causing harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "spoil" and its variations

    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
    aida
    -0.74
    jriwal
    -0.73
    ajo
    -0.73
    arettes
    -0.71
     heartbeat
    -0.71
    uyomi
    -0.70
    rouch
    -0.68
    ribune
    -0.67
     plun
    -0.67
    cknow
    -0.65
    POSITIVE LOGITS
     spo
    1.34
     spoil
    1.27
     spoiled
    1.00
     rotten
    0.87
     Spo
    0.76
     Crate
    0.75
     appet
    0.74
    *=-
    0.71
    ãģ¾
    0.71
    arding
    0.70
    Activations Density 0.009%

    No Known Activations