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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. 1-RES-JB
    6. 13629
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    Explanations

    phrases related to unspecified activities or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "some."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.76
    SPONSORED
    -0.75
    ettes
    -0.72
    rollers
    -0.70
    vest
    -0.68
    thus
    -0.67
    meet
    -0.66
    gon
    -0.65
    rors
    -0.63
    agents
    -0.63
    POSITIVE LOGITS
    place
    0.95
    how
    0.91
    ones
    0.87
    body
    0.84
     degree
    0.81
    etheless
    0.76
     consolation
    0.76
     semblance
    0.72
    HOW
    0.70
     additional
    0.68
    Activations Density 0.083%

    No Known Activations