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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. 11-RES-JB
    11. 9249
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    Explanations

    adjectives related to qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors indicating quality or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reconc
    -0.69
     frustrations
    -0.66
    Tumblr
    -0.63
    çīĪ
    -0.62
     administrations
    -0.59
    quest
    -0.57
    owitz
    -0.57
     Establishment
    -0.56
     willful
    -0.55
     Kemp
    -0.55
    POSITIVE LOGITS
     enough
    1.81
    enough
    1.59
     Enough
    1.42
    izable
    1.04
    Enough
    1.02
     sufficient
    0.98
    isable
    0.94
    ened
    0.92
    ible
    0.89
     sufficiently
    0.87
    Activations Density 0.319%

    No Known Activations