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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. 2-RES-JB
    11. 6130
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    Explanations

    instances where confusion or mix-ups occur

    oai_token-act-pair · gpt-3.5-turbo

    instances where the word "confused" is used

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.75
    ighth
    -0.70
    bors
    -0.65
    igers
    -0.62
    ILA
    -0.62
    gone
    -0.62
    HOME
    -0.62
    inth
    -0.62
    home
    -0.62
    die
    -0.61
    POSITIVE LOGITS
     confuse
    1.02
    ingly
    0.95
     confused
    0.95
     confusion
    0.85
     confusing
    0.83
     Leilan
    0.80
    fully
    0.79
     bewild
    0.79
     misunderstand
    0.77
     misunderstanding
    0.74
    Activations Density 0.017%

    No Known Activations