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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 12791
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    Explanations

    terms related to livestock farming and organic waste

    oai_token-act-pair · gpt-3.5-turbo

    references to livestock and agricultural practices

    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
    abis
    -0.66
    atra
    -0.64
    nee
    -0.63
    houn
    -0.62
    arak
    -0.62
    Pope
    -0.60
    bol
    -0.60
     Hussein
    -0.60
    bang
    -0.59
     Mandela
    -0.59
    POSITIVE LOGITS
     grazing
    0.79
     livestock
    0.75
    oultry
    0.71
     Standards
    0.70
    eers
    0.69
     poultry
    0.68
     pests
    0.68
     producers
    0.68
     farms
    0.67
     Owners
    0.67
    Activations Density 0.010%

    No Known Activations