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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. 11-RES-JB
    11. 6097
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    INDEX
    Explanations

    phrases indicating causality or connection between actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rete
    -0.75
    iris
    -0.73
    wl
    -0.70
    scribe
    -0.69
    =-=-
    -0.68
    ike
    -0.67
    isance
    -0.66
    RAW
    -0.65
    enne
    -0.65
    eric
    -0.64
    POSITIVE LOGITS
     reducing
    1.54
     preventing
    1.51
     enabling
    1.50
     undermining
    1.50
     allowing
    1.50
     guaranteeing
    1.48
     causing
    1.48
     harming
    1.44
     eliminating
    1.44
     ensuring
    1.43
    Activations Density 0.178%

    No Known Activations