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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. 1276
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    Explanations

    dates within a given context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "when," indicating temporal contexts in events

    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
    whatever
    -0.86
    ãĤ§
    -0.76
    ertain
    -0.71
    ktop
    -0.68
    ivot
    -0.68
    Probably
    -0.67
     endif
    -0.67
    atown
    -0.66
    urden
    -0.65
    position
    -0.65
    POSITIVE LOGITS
    upon
    0.85
    soever
    0.80
     they
    0.79
     billionaire
    0.75
     comedian
    0.73
     hordes
    0.70
     representatives
    0.69
     rapper
    0.68
     reporters
    0.68
     demonstrators
    0.68
    Activations Density 0.216%

    No Known Activations