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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. 0-RES-JB
    6. 20762
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    Explanations

    terms related to movement or progress

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "go" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.75
    lished
    -0.73
     Advertisement
    -0.71
    alia
    -0.69
    stakes
    -0.66
     Responsibility
    -0.64
    expression
    -0.62
    andestine
    -0.61
    vich
    -0.60
    majority
    -0.59
    POSITIVE LOGITS
     go
    2.97
    Go
    1.83
    go
    1.81
     Go
    1.75
     goes
    1.61
     GO
    1.56
     proceed
    1.42
     went
    1.38
     gone
    1.36
     stay
    1.25
    Activations Density 0.045%

    No Known Activations