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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. 7959
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    Explanations

    descriptions of various modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to modes of transportation

    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
    )=(
    -0.71
    UTC
    -0.67
    VALUE
    -0.65
    ews
    -0.63
    etheless
    -0.62
    ANC
    -0.59
    DIV
    -0.59
    ULAR
    -0.58
     heterogeneity
    -0.58
    Sah
    -0.57
    POSITIVE LOGITS
     Doodle
    0.74
     salesman
    0.72
     cereal
    0.69
     advert
    0.67
     bikini
    0.66
     aspirin
    0.66
     typew
    0.63
     disco
    0.62
    ffe
    0.62
    melon
    0.62
    Activations Density 0.856%

    No Known Activations