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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. 1513
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    Explanations

    words related to advantages, disadvantages, and consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe complexities or challenges in various contexts

    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
    berman
    -0.89
     Vide
    -0.71
     inspected
    -0.68
    andise
    -0.67
    Ĥİ
    -0.67
    ouver
    -0.66
    renheit
    -0.66
    sembly
    -0.65
    wei
    -0.64
    unte
    -0.62
    POSITIVE LOGITS
     implications
    1.64
     ramifications
    1.46
     pitfalls
    1.40
     consequences
    1.36
     drawbacks
    1.32
     risks
    1.31
     dangers
    1.30
     positives
    1.29
     downside
    1.28
     merits
    1.20
    Activations Density 0.888%

    No Known Activations