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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. 8-RES-JB
    6. 599
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    INDEX
    Explanations

    single words or short phrases within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lists or enumerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of "list" in various contexts.

    oai_token-act-pair · gpt-4oTriggered by @tatsatx
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aber
    -0.75
     Pagan
    -0.62
     stride
    -0.61
     Advocate
    -0.61
     Huck
    -0.60
     merry
    -0.59
     Gore
    -0.57
     reper
    -0.57
     Farmer
    -0.56
     Advantage
    -0.56
    POSITIVE LOGITS
    erv
    1.18
    ening
    1.03
    icle
    0.96
    icles
    0.95
    ener
    0.94
    eners
    0.93
    abet
    0.86
    enable
    0.84
    lists
    0.83
    erve
    0.83
    Activations Density 0.066%

    No Known Activations