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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. 2-RES-JB
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    Explanations

    words related to Twitter, specifically focusing on mentions of "Twe" followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Tweezers" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILY
    -0.74
    ãĥĩ
    -0.72
     Samoa
    -0.71
     Defenders
    -0.66
     Romanian
    -0.63
    IDS
    -0.63
    BILITY
    -0.62
     RAD
    -0.62
     Valiant
    -0.61
    vasive
    -0.60
    POSITIVE LOGITS
     Twe
    1.14
    edy
    1.08
    Twe
    0.98
    eden
    0.98
    ets
    0.97
    akers
    0.97
    aken
    0.95
    ollen
    0.94
    aker
    0.92
    aney
    0.90
    Activations Density 0.010%

    No Known Activations