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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. 3-RES-JB
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    Explanations

    words related to being serious or having a serious attitude

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "serious" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atu
    -0.82
    ucky
    -0.79
    AUT
    -0.74
    tein
    -0.68
    Pass
    -0.68
    eez
    -0.68
    enaries
    -0.67
    hops
    -0.67
    aver
    -0.67
    ramid
    -0.66
    POSITIVE LOGITS
    serious
    1.00
     serious
    0.93
    lly
    0.91
     enough
    0.86
     Serious
    0.83
    itar
    0.80
     seriousness
    0.78
     consideration
    0.76
    itarian
    0.75
    enough
    0.74
    Activations Density 0.014%

    No Known Activations