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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. 7-RES-JB
    11. 204
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    Explanations

    images or descriptions of individuals holding objects or presenting them in a certain way

    oai_token-act-pair · gpt-3.5-turbo

    actions related to holding or clutching objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ansion
    -0.78
     airing
    -0.78
     reviewers
    -0.71
    ioxide
    -0.69
    undown
    -0.69
    Fact
    -0.69
    ablishment
    -0.67
    Ö¼
    -0.66
    enn
    -0.65
     conversions
    -0.65
    POSITIVE LOGITS
     knives
    1.05
     torches
    0.95
     axes
    0.92
     clenched
    0.90
     clipboard
    0.90
     scissors
    0.89
     pistols
    0.89
     spears
    0.88
     rifles
    0.87
     bags
    0.87
    Activations Density 0.194%

    No Known Activations