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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. 9-RES-JB
    11. 3336
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    Explanations

    phrases related to watching or observing people or events

    oai_token-act-pair · gpt-3.5-turbo

    references to watching or observing individuals or teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.75
    ca
    -0.68
    ItemTracker
    -0.68
     Cosponsors
    -0.66
    lies
    -0.63
    thens
    -0.62
     Sins
    -0.62
     condol
    -0.61
    morning
    -0.61
     Continued
    -0.60
    POSITIVE LOGITS
     unfold
    1.37
     grow
    1.25
     evolve
    1.23
     emerge
    1.22
     soar
    1.17
     develop
    1.15
     succeed
    1.15
     perform
    1.14
     crumble
    1.13
     negotiate
    1.13
    Activations Density 0.365%

    No Known Activations