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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. 1-RES-JB
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    Explanations

    statements or text related to a thorough investigation or detailed examination of a subject

    oai_token-act-pair · gpt-3.5-turbo

    the usage of the word "extensive"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alive
    -0.71
    Mayor
    -0.70
    gged
    -0.67
    Hero
    -0.67
    opter
    -0.67
    alias
    -0.67
    gets
    -0.67
    tre
    -0.67
    pal
    -0.66
    Safe
    -0.66
    POSITIVE LOGITS
     extensive
    0.98
     amounts
    0.85
     thorough
    0.81
     portions
    0.80
    aeda
    0.78
     detail
    0.76
     disadvantages
    0.75
     tracts
    0.75
    ulty
    0.72
    utherland
    0.72
    Activations Density 0.008%

    No Known Activations