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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. 8-RES-JB
    6. 18149
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    Explanations

    adjectives describing the intensity of a situation or experience

    oai_token-act-pair · gpt-3.5-turbo

    declarations of events or states that emphasize "it was" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.89
     ILCS
    -0.70
    doms
    -0.69
    ilings
    -0.68
    raper
    -0.67
    lie
    -0.67
    ature
    -0.65
    ranch
    -0.65
     accuser
    -0.65
     Critics
    -0.62
    POSITIVE LOGITS
     kinda
    1.19
     nice
    1.09
     raining
    1.08
     definitely
    1.06
     amazing
    1.05
     pretty
    1.02
     funny
    1.02
     weird
    1.00
     awesome
    1.00
     surreal
    0.98
    Activations Density 0.337%

    No Known Activations