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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of specific individuals in political contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific political figures

    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
     Clockwork
    -0.70
    condition
    -0.67
    ³³³³³³³³³³³³³³³³
    -0.66
    ————————————————
    -0.65
     PubMed
    -0.64
     Lisbon
    -0.61
    Lenin
    -0.61
    drm
    -0.60
     Sharon
    -0.60
    ————————
    -0.60
    POSITIVE LOGITS
     Chaff
    1.24
    etz
    1.20
    ridge
    0.86
    ey
    0.85
    rons
    0.84
    bats
    0.83
    eneg
    0.83
    inary
    0.82
    aney
    0.81
     Emin
    0.79
    Activations Density 0.010%

    No Known Activations