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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. 7-RES-JB
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    Explanations

    mentions of autonomous activities or entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of autonomous systems or vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.80
    imaru
    -0.77
    swick
    -0.76
    ings
    -0.72
    tk
    -0.68
    reens
    -0.67
    ttp
    -0.66
    pton
    -0.64
    ulhu
    -0.64
    colo
    -0.64
    POSITIVE LOGITS
    onomous
    1.16
    onomy
    0.81
     autonomous
    0.80
    immune
    0.72
     braking
    0.72
    zing
    0.72
    odied
    0.68
     robotic
    0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.67
     minded
    0.66
    Activations Density 0.032%

    No Known Activations