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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. 5148
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    Explanations

    references to extensive or detailed content in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "extensive."

    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
    CENT
    -0.77
    crow
    -0.74
    pal
    -0.73
    earth
    -0.71
    Earth
    -0.71
    iman
    -0.70
    instead
    -0.69
    opers
    -0.68
    girls
    -0.68
    Frames
    -0.67
    POSITIVE LOGITS
    mble
    0.87
     amounts
    0.84
    ãĤ£
    0.79
     detail
    0.74
     coverage
    0.73
     schooling
    0.71
     enough
    0.70
     customization
    0.68
    bred
    0.68
     structural
    0.67
    Activations Density 0.025%

    No Known Activations