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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. 3-RES-JB
    6. 19753
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    INDEX
    Explanations

    lists or sequences of items

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "list" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aber
    -0.67
    asio
    -0.65
     sailing
    -0.64
    rir
    -0.64
     seas
    -0.64
     turf
    -0.63
    perty
    -0.62
     pounding
    -0.61
     merry
    -0.60
     lat
    -0.60
    POSITIVE LOGITS
    ening
    1.15
    erv
    1.10
    ener
    1.01
    eners
    0.97
    ing
    0.87
    enf
    0.86
    uce
    0.86
    list
    0.85
    erve
    0.84
    enable
    0.83
    Activations Density 0.021%

    No Known Activations