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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. 8244
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    Explanations

    shocking or alarming information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shocking" and related expressions of surprise or disbelief

    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
    ©¶æ
    -0.99
    amins
    -0.85
    folios
    -0.79
    atism
    -0.78
    xia
    -0.77
    oyal
    -0.77
    iquette
    -0.75
    claimer
    -0.75
    ciplinary
    -0.74
    ritis
    -0.74
    POSITIVE LOGITS
     revelations
    0.94
    ly
    0.86
     Revelations
    0.83
    ingly
    0.82
    LY
    0.81
     revelation
    0.80
     hypocrisy
    0.71
     shocking
    0.70
     amounts
    0.68
     Squid
    0.67
    Activations Density 0.029%

    No Known Activations