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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. 12-RES-JB
    11. 5005
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    Explanations

    terms related to psychological and medical conditions, as well as specific terms related to police work

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to trauma and post-traumatic stress

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    keeper
    -0.71
    cup
    -0.68
    pu
    -0.62
    fighters
    -0.61
    dragon
    -0.60
    ners
    -0.60
    men
    -0.59
    ers
    -0.57
    er
    -0.57
    ral
    -0.57
    POSITIVE LOGITS
    oreal
    0.86
    ovember
    0.73
    ynamic
    0.71
    FORE
    0.69
    ites
    0.67
    iction
    0.66
    Beg
    0.66
    oscopic
    0.66
    atic
    0.66
    omal
    0.65
    Activations Density 0.172%

    No Known Activations