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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. 3-RES-JB
    11. 6248
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    Explanations

    phrases related to names such as "Till" or "Wen" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper names, specifically identifying individuals and entities associated with notable actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.81
    holders
    -0.77
     cov
    -0.73
    itably
    -0.73
    ãģķ
    -0.71
    tains
    -0.69
    姫
    -0.68
     cous
    -0.66
    ysis
    -0.66
    uable
    -0.66
    POSITIVE LOGITS
    ting
    0.95
    zel
    0.90
    terson
    0.88
    hing
    0.83
     Til
    0.80
    sten
    0.78
    ted
    0.78
    burg
    0.73
    chy
    0.72
    jen
    0.71
    Activations Density 0.016%

    No Known Activations