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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. 7-RES-JB
    6. 16166
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    INDEX
    Explanations

    words related to fluctuations, both positive and negative

    oai_token-act-pair · gpt-3.5-turbo

    references to positive and negative experiences or outcomes

    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
     Portuguese
    -0.72
    Äĩ
    -0.72
    EVA
    -0.70
    Ùĩ
    -0.68
    ãĥŁ
    -0.66
     Mecca
    -0.66
    Reviewed
    -0.63
     Art
    -0.63
     Gemini
    -0.62
    ت
    -0.62
    POSITIVE LOGITS
    ourced
    1.30
    ourcing
    1.23
    iders
    1.11
    ources
    1.11
    hirt
    1.08
    laus
    1.07
    sembly
    1.02
    ides
    1.02
    ided
    1.01
    undown
    1.00
    Activations Density 0.059%

    No Known Activations