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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. 6-RES-JB
    11. 23197
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    Explanations

    references to mud

    oai_token-act-pair · gpt-3.5-turbo

    references to mud and its various forms or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASED
    -0.70
    Sax
    -0.70
    ECT
    -0.69
    zona
    -0.68
    ATURE
    -0.67
    士
    -0.65
    entric
    -0.64
    ENCE
    -0.63
    OHN
    -0.63
     Stras
    -0.62
    POSITIVE LOGITS
    geon
    0.94
    bag
    0.93
    bath
    0.92
    hog
    0.90
    sl
    0.88
    alore
    0.87
    weed
    0.84
    pee
    0.84
    bags
    0.81
    roots
    0.81
    Activations Density 0.017%

    No Known Activations