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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 819
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    Explanations

    positive or supportive statements, potentially in response to an action or situation

    oai_token-act-pair · gpt-3.5-turbo

    special characters and symbols punctuating textual expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     range
    -0.80
     myster
    -0.75
     invention
    -0.75
     mathemat
    -0.74
     mushroom
    -0.73
     metic
    -0.72
     usefulness
    -0.71
     ranges
    -0.71
     notor
    -0.71
     habit
    -0.71
    POSITIVE LOGITS
    ï¸ı
    1.45
    ONSORED
    1.00
    https
    0.99
    ttp
    0.99
    ðŁ
    0.98
    twitter
    0.93
    CNN
    0.92
    ¯
    0.92
    Twitter
    0.91
    ðŁĺ
    0.90
    Activations Density 0.255%

    No Known Activations