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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. 21012
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    Explanations

    phrases related to the action of 'icing', often associated with food or drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to iced beverages

    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
    yssey
    -0.81
    gom
    -0.72
    issues
    -0.70
    alter
    -0.70
    orest
    -0.69
    laws
    -0.69
    wiki
    -0.69
    merce
    -0.68
    hang
    -0.68
    izons
    -0.68
    POSITIVE LOGITS
    heet
    0.79
    iced
    0.77
     Diesel
    0.70
    cream
    0.66
     Cout
    0.66
    lass
    0.66
     cream
    0.64
    ove
    0.61
    =#
    0.61
     Dir
    0.60
    Activations Density 0.008%

    No Known Activations