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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 19884
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    Explanations

    names or phrases related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to people and places

    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
     satell
    -0.77
    atures
    -0.77
    mble
    -0.76
    EStream
    -0.76
    Downloadha
    -0.74
    opsy
    -0.70
    NetMessage
    -0.70
    nesota
    -0.70
    ymph
    -0.69
     ANGEL
    -0.69
    POSITIVE LOGITS
    ting
    0.92
    terson
    0.89
    ries
    0.81
    ness
    0.73
    lock
    0.73
    tered
    0.71
    vy
    0.71
    ara
    0.70
    shi
    0.70
    rique
    0.70
    Activations Density 0.077%

    No Known Activations