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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. 10-RES-JB
    6. 18275
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    INDEX
    Explanations

    instances of the word "talk" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    instances of conversation or dialogue about various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tumblr
    -0.73
    orius
    -0.68
    arak
    -0.67
     guiActiveUnfocused
    -0.64
    iru
    -0.64
    ona
    -0.63
    ynski
    -0.63
    eers
    -0.62
    cffff
    -0.62
    printf
    -0.60
    POSITIVE LOGITS
     about
    0.99
     About
    0.82
    senal
    0.81
     briefly
    0.80
    about
    0.80
     specifics
    0.79
     ABOUT
    0.75
     candid
    0.74
     extensively
    0.73
     bout
    0.66
    Activations Density 0.086%

    No Known Activations