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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. 21763
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    Explanations

    instances where something is missed or not present

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "miss."

    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
    Enlarge
    -0.69
     toget
    -0.68
    Reviewed
    -0.68
    EStreamFrame
    -0.67
    hetti
    -0.66
     Prin
    -0.66
    itutional
    -0.65
    Ranked
    -0.64
    DX
    -0.63
    OPLE
    -0.62
    POSITIVE LOGITS
    hap
    1.16
    pelled
    1.07
    pell
    0.95
    cules
    0.92
    ouri
    0.86
     miss
    0.85
    pelling
    0.81
    noon
    0.79
    poke
    0.77
    ippi
    0.76
    Activations Density 0.010%

    No Known Activations