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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. 10-RES-JB
    11. 7916
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    Explanations

    people

    oai_token-act-pair · gpt-3.5-turbo

    numerical data relating to casualties and displaced populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opia
    -0.79
    udic
    -0.70
    Enh
    -0.69
    angle
    -0.69
    ensis
    -0.69
    Recomm
    -0.68
    amaru
    -0.67
     territ
    -0.65
    Adds
    -0.65
    zilla
    -0.64
    POSITIVE LOGITS
     people
    1.09
     individuals
    1.02
     deaths
    1.01
     died
    1.01
     persons
    1.00
    teen
    0.98
     bodies
    0.97
     Britons
    0.95
     civilians
    0.92
     million
    0.92
    Activations Density 0.176%

    No Known Activations