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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. 24131
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    INDEX
    Explanations

    phrases related to actions and their potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of consequences in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    uni
    -0.92
    yss
    -0.82
    atown
    -0.76
    yip
    -0.75
    swick
    -0.74
    ramid
    -0.73
    ropolitan
    -0.72
    romy
    -0.72
    abee
    -0.71
    wark
    -0.70
    POSITIVE LOGITS
     consequences
    1.14
     thereof
    1.01
     repercussions
    0.91
     fallout
    0.88
     consequence
    0.84
     reperc
    0.83
     arising
    0.82
     ramifications
    0.78
     aval
    0.76
     havoc
    0.76
    Activations Density 0.048%

    No Known Activations