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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. 13632
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    Explanations

    words related to evaluation, criticism, or assessment with emphasis on certainty or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases suggesting legality or regulatory status

    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
    icism
    -0.74
    alion
    -0.68
    culosis
    -0.68
    dress
    -0.64
    ortmund
    -0.62
    atche
    -0.62
    APTER
    -0.62
    cation
    -0.61
    DOS
    -0.59
    éĹ
    -0.58
    POSITIVE LOGITS
     interchangeable
    0.86
    abouts
    0.74
    types
    0.70
     extensions
    0.70
     themselves
    0.69
     jelly
    0.69
     alike
    0.69
    rely
    0.67
     indications
    0.67
     unanimous
    0.67
    Activations Density 0.528%

    No Known Activations