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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. 11-RES-JB
    11. 1699
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    Explanations

    explanations or words related to providing explanations

    oai_token-act-pair · gpt-3.5-turbo

    references to explanations or the need for explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illet
    -0.75
    yard
    -0.74
    inion
    -0.72
    puter
    -0.69
    inal
    -0.68
     Nadu
    -0.67
    posed
    -0.67
    zig
    -0.65
    oned
    -0.65
    INST
    -0.64
    POSITIVE LOGITS
     thereof
    0.94
     why
    0.87
     given
    0.81
     WHY
    0.75
    opathic
    0.71
    aries
    0.70
     provided
    0.70
    text
    0.69
     furnished
    0.69
     of
    0.68
    Activations Density 0.091%

    No Known Activations