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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. 2-RES-JB
    11. 822
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    Explanations

    the word 'parked'

    oai_token-act-pair · gpt-4-turbo

    references to vehicles being parked

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "parked" or related terms indicating stationary vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -1.02
    vernment
    -0.80
    é¾įåĸļ士
    -0.74
    é¾įå¥ij士
    -0.74
    adeon
    -0.70
    bit
    -0.70
    astical
    -0.69
    externalActionCode
    -0.69
    ï¸ı
    -0.69
    mp
    -0.66
    POSITIVE LOGITS
     parked
    1.12
     parking
    0.72
    wagon
    0.72
     brake
    0.71
     Slug
    0.71
     DeL
    0.71
     Garage
    0.70
     buggy
    0.70
    conservancy
    0.69
    atoon
    0.69
    Activations Density 0.003%

    No Known Activations