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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. 24489
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    INDEX
    Explanations

    phrases where the concept of "what something is" is being discussed or explained

    oai_token-act-pair · gpt-3.5-turbo

    statements defining or questioning the nature of concepts

    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
    ital
    -0.62
    izabeth
    -0.56
    esm
    -0.55
     Spot
    -0.55
    ynski
    -0.55
    obo
    -0.55
    cies
    -0.54
    odan
    -0.54
     resumes
    -0.54
    Americ
    -0.54
    POSITIVE LOGITS
     supposed
    1.17
     worth
    1.02
     meant
    0.96
     like
    0.93
     capable
    0.90
     intended
    0.90
     gonna
    0.87
     ABOUT
    0.85
     exactly
    0.82
     about
    0.82
    Activations Density 0.070%

    No Known Activations