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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. 23129
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    Explanations

    references to a large quantity of something or a comparative degree

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "many."

    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
    acus
    -0.83
    ocracy
    -0.72
    ade
    -0.72
    abad
    -0.71
    anut
    -0.70
    atum
    -0.68
    opia
    -0.68
    adiator
    -0.67
    ADVERTISEMENT
    -0.66
    athon
    -0.64
    POSITIVE LOGITS
    body
    1.01
     observers
    1.00
     commenters
    0.92
     commentators
    0.91
     times
    0.86
    theless
    0.85
     importantly
    0.84
     people
    0.80
     analysts
    0.80
     facets
    0.79
    Activations Density 0.068%

    No Known Activations