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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. 10533
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    INDEX
    Explanations

    phrases related to instructions and regulations

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating future actions or obligations

    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
    thinking
    -0.75
     puzzling
    -0.74
     dragging
    -0.72
    fortune
    -0.70
    cule
    -0.70
     likes
    -0.69
    doing
    -0.68
     embarrassing
    -0.68
    building
    -0.66
     predicting
    -0.65
    POSITIVE LOGITS
     be
    1.32
     remain
    1.20
     cease
    1.13
     undergo
    1.11
     suffice
    1.10
     expire
    1.09
     disappear
    1.08
     comply
    1.06
     comprise
    1.04
     receive
    1.03
    Activations Density 0.255%

    No Known Activations