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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. 3-RES-JB
    11. 20588
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    Explanations

    words related to fears and concerns

    oai_token-act-pair · gpt-3.5-turbo

    words related to fear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - fear

    No Comments

    Negative Logits
    raviolet
    -0.72
    swing
    -0.69
    options
    -0.66
    tk
    -0.64
    fram
    -0.64
    selected
    -0.62
    manager
    -0.60
    demand
    -0.59
    frames
    -0.59
     Slide
    -0.59
    POSITIVE LOGITS
    ears
    0.91
    heimer
    0.91
    hip
    0.91
    ense
    0.83
    heed
    0.79
    ome
    0.78
    nings
    0.73
    wig
    0.72
    enses
    0.72
    ably
    0.71
    Activations Density 0.007%

    No Known Activations