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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. 7048
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    Explanations

    paragraphs mentioning the word "contains" followed by a specific item or substance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the presence of specific contents or substances

    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
    doms
    -0.86
     Sabha
    -0.77
    lag
    -0.72
    straight
    -0.71
    Sport
    -0.70
    laus
    -0.68
    Dispatch
    -0.67
    nir
    -0.66
     athlet
    -0.65
    urai
    -0.65
    POSITIVE LOGITS
     enough
    0.89
     sufficient
    0.87
     spoilers
    0.82
     provisions
    0.78
     snippets
    0.78
     remnants
    0.78
     traces
    0.77
     information
    0.77
     lots
    0.75
     loopholes
    0.74
    Activations Density 0.069%

    No Known Activations