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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. 16851
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    INDEX
    Explanations

    phrases indicating a need for action or instruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the word "have."

    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
    AH
    -0.71
    icy
    -0.71
    estic
    -0.68
    weed
    -0.66
    Discuss
    -0.65
    adjusted
    -0.65
    emis
    -0.64
     Returning
    -0.63
    act
    -0.62
    igraph
    -0.61
    POSITIVE LOGITS
     yourselves
    0.88
     yourself
    0.78
    Tube
    0.78
     gotta
    0.74
     mileage
    0.71
    issance
    0.68
    imar
    0.68
     shalt
    0.68
     doubtless
    0.67
     hereby
    0.67
    Activations Density 0.174%

    No Known Activations