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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. 10-RES-JB
    6. 1925
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    Explanations

    phrases related to legal actions or disputes

    oai_token-act-pair · gpt-3.5-turbo

    repeated conjunctions that indicate lists or connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onica
    -0.81
    ahime
    -0.76
    tick
    -0.72
    roller
    -0.70
    iatus
    -0.66
    agog
    -0.64
    ibble
    -0.64
    buster
    -0.64
    rollers
    -0.63
    Times
    -0.63
    POSITIVE LOGITS
     furthermore
    1.32
     consequently
    1.25
     secondly
    1.24
     moreover
    1.23
     additionally
    1.22
     thence
    1.10
     also
    1.08
     hence
    1.06
     therefore
    1.05
     thereby
    1.03
    Activations Density 0.256%

    No Known Activations