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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. 4-RES-JB
    11. 6587
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    Explanations

    phrases related to rail transportation or infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific rail system or related transportation concepts

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

    No Comments

    Negative Logits
    \\\\\\\\\\\\\\\\
    -0.73
    iveness
    -0.71
    ively
    -0.67
    ibilities
    -0.67
    ibly
    -0.65
    使
    -0.65
    士
    -0.63
     apocalyptic
    -0.63
    çIJ
    -0.63
    å£
    -0.63
    POSITIVE LOGITS
     Fighters
    0.95
    ster
    0.83
    hub
    0.78
    ways
    0.75
     Aid
    0.74
     Ink
    0.72
    Base
    0.71
     Balls
    0.71
    ilant
    0.71
    scope
    0.71
    Activations Density 0.036%

    No Known Activations