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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. 6-RES-JB
    11. 707
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    Explanations

    words related to general matters, especially sensitive or critical ones

    oai_token-act-pair · gpt-3.5-turbo

    the word "matters" in various contexts related to different topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARP
    -0.95
    ãĥ³ãĤ¸
    -0.83
    asio
    -0.81
    ades
    -0.75
     Rockies
    -0.75
     Avalanche
    -0.74
    NES
    -0.73
    ãĤ£
    -0.73
    ãĥ©
    -0.72
    thia
    -0.72
    POSITIVE LOGITS
     pertaining
    1.01
     relating
    0.91
    manship
    0.90
    hip
    0.90
    afety
    0.89
     matters
    0.88
    pace
    0.83
    cale
    0.83
    hooting
    0.79
     concerning
    0.78
    Activations Density 0.028%

    No Known Activations