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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. 6-RES-JB
    11. 7653
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    Explanations

    personal pronouns followed by physical actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anything
    -0.77
     Delicious
    -0.76
     Anyway
    -0.71
     Bound
    -0.69
    ³³³³
    -0.65
     VIDEOS
    -0.63
    BACK
    -0.63
    Okay
    -0.62
    Rest
    -0.62
    Poké
    -0.62
    POSITIVE LOGITS
    oping
    1.16
    oped
    1.08
     specialize
    1.04
    soever
    0.98
     preceded
    0.96
     resided
    0.92
    ever
    0.89
    abouts
    0.89
    ppers
    0.88
     participated
    0.88
    Activations Density 0.154%

    No Known Activations