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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. 3-RES-JB
    11. 16944
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    Explanations

    phrases related to coding and programming, specifically bracket and parenthesis configurations

    oai_token-act-pair · gpt-3.5-turbo

    parentheses and brackets in legal or formal documents

    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
     Logged
    -0.79
    ebus
    -0.67
     Olympia
    -0.66
     municipality
    -0.65
     Antar
    -0.63
     Laurent
    -0.62
    ateur
    -0.62
     haunt
    -0.62
     Slow
    -0.62
     Rogers
    -0.62
    POSITIVE LOGITS
    selves
    0.81
    quad
    0.80
    structed
    0.79
    catentry
    0.76
    binding
    0.76
    cases
    0.75
    Poly
    0.73
    bands
    0.72
    Solution
    0.71
    case
    0.71
    Activations Density 0.025%

    No Known Activations