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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20403
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    Explanations

    names or terms related to legal or official positions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Magna Carta" and its variations in historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -1.00
    OPLE
    -0.83
     Rockefeller
    -0.65
     kHz
    -0.65
    INGTON
    -0.63
    éĹĺ
    -0.63
     Hurricanes
    -0.63
     Vaugh
    -0.62
     wart
    -0.62
    ãģ¯
    -0.61
    POSITIVE LOGITS
    istrate
    1.49
    istrates
    1.47
    azines
    1.33
    netic
    1.24
    nesium
    1.24
    ikarp
    1.23
    ento
    1.15
    enta
    1.11
    ificent
    1.08
    pie
    1.08
    Activations Density 0.020%

    No Known Activations