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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8655
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    Explanations

    sequences of numbers and symbols in a specific order

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numerical values, particularly those that indicate lists or increments

    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
     Gathering
    -0.64
    uggest
    -0.64
    Executive
    -0.61
     estimating
    -0.60
     sponsoring
    -0.59
    bda
    -0.58
     manufacturing
    -0.57
    assis
    -0.56
     palpable
    -0.56
    creat
    -0.54
    POSITIVE LOGITS
     etc
    0.99
    etc
    0.97
    ĪĴ
    0.78
     respectively
    0.73
    illance
    0.70
    opt
    0.68
    â̦)
    0.65
     parentheses
    0.65
    ...)
    0.65
    Shift
    0.63
    Activations Density 0.136%

    No Known Activations