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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. 4-RES-JB
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    Explanations

    mentions of farm animals

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of livestock or domestic animals

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

    No Comments

    Negative Logits
     condem
    -0.71
     pressures
    -0.68
     Transcript
    -0.66
     subsequ
    -0.66
    aneously
    -0.66
     Universe
    -0.66
    nce
    -0.65
     Barnett
    -0.65
    urrent
    -0.64
    ept
    -0.63
    POSITIVE LOGITS
     Cheese
    0.91
     goats
    0.90
    asus
    0.89
    boys
    0.86
    cow
    0.83
    wright
    0.82
     goat
    0.80
     cheese
    0.80
    keepers
    0.79
    fruit
    0.78
    Activations Density 0.009%

    No Known Activations