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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. 22365
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    Explanations

    phrases related to investigation or examination

    oai_token-act-pair · gpt-3.5-turbo

    references to analysis and evaluation in various contexts

    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
    ograp
    -0.77
    oiler
    -0.73
    ikan
    -0.68
    ocr
    -0.64
    addle
    -0.63
    pic
    -0.62
    iverse
    -0.62
    tick
    -0.62
    toggle
    -0.61
    oplan
    -0.61
    POSITIVE LOGITS
     any
    0.96
     its
    0.93
     subsequent
    0.92
     the
    0.89
     other
    0.88
     assorted
    0.82
     others
    0.80
     some
    0.77
     those
    0.75
     whichever
    0.75
    Activations Density 0.683%

    No Known Activations