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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. 9-RES-JB
    11. 15998
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    Explanations

    phrases related to the role or importance of certain entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to roles and their importance in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Catalog
    -0.91
     Pwr
    -0.80
    ittee
    -0.77
    nis
    -0.74
    cut
    -0.74
    igue
    -0.73
    lege
    -0.72
    burst
    -0.72
    >>\
    -0.71
    cade
    -0.69
    POSITIVE LOGITS
     teamwork
    0.93
     preserving
    0.85
     these
    0.79
     anonymity
    0.78
     individuality
    0.78
     secrecy
    0.75
     vitamins
    0.73
     psychedel
    0.73
     intermedi
    0.73
     confidentiality
    0.73
    Activations Density 0.192%

    No Known Activations