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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. 9-RES-JB
    11. 16734
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    Explanations

    references to or descriptions of animals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of animals or related animal welfare terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Compton
    -0.74
    heit
    -0.73
    unda
    -0.71
    illing
    -0.70
    lain
    -0.67
    itudinal
    -0.67
    ounced
    -0.67
    landers
    -0.66
    creen
    -0.66
     Wilkinson
    -0.65
    POSITIVE LOGITS
     carc
    0.96
     kingdom
    0.96
     cruelty
    0.93
     welfare
    0.90
     Welfare
    0.86
     abusers
    0.86
     domest
    0.86
     lover
    0.86
     animals
    0.85
    istic
    0.84
    Activations Density 0.055%

    No Known Activations