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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. 4-RES-JB
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    references to wolves, specifically their characteristics, behaviors, and interactions with other elements in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to wolves

    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
    NAS
    -0.80
    ulty
    -0.74
    perture
    -0.69
     Seym
    -0.68
    ricks
    -0.68
    claimed
    -0.67
    rontal
    -0.67
    angan
    -0.67
    adian
    -0.67
    ulative
    -0.66
    POSITIVE LOGITS
     wolves
    1.19
    hound
    1.07
     wolf
    1.03
     Wolves
    0.97
    wolves
    0.97
     Fenrir
    0.94
    gang
    0.92
    enstein
    0.85
    dogs
    0.79
     carc
    0.79
    Activations Density 0.010%

    No Known Activations