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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "crate" and related references in the text data

    oai_token-act-pair · gpt-3.5-turbo

    references to containers for pets, specifically crates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icide
    -0.79
    arov
    -0.76
    iddler
    -0.75
    iage
    -0.74
    rol
    -0.73
    lication
    -0.72
    endra
    -0.72
    wered
    -0.71
    icides
    -0.71
    aho
    -0.71
    POSITIVE LOGITS
     crates
    1.02
    BY
    0.90
     Crate
    0.90
     crate
    0.87
    xual
    0.84
    xus
    0.79
    chio
    0.78
    vre
    0.75
    zynski
    0.74
    zinski
    0.74
    Activations Density 0.015%

    No Known Activations