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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. 2346
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    Explanations

    actions related to theft or robbery, and the aftermath of such incidents

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

    actions related to fleeing or escaping situations

    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
    ¥µ
    -0.65
    ortium
    -0.60
    than
    -0.59
     incent
    -0.58
    BuyableInstoreAndOnline
    -0.56
    iqueness
    -0.55
    unts
    -0.54
    ahon
    -0.54
    endon
    -0.53
    yip
    -0.52
    POSITIVE LOGITS
     accordingly
    1.17
     thereafter
    0.96
     afterward
    0.96
     afterwards
    0.92
    .
    0.81
    .[
    0.81
     anew
    0.79
     without
    0.78
     again
    0.76
     himself
    0.74
    Activations Density 0.768%

    No Known Activations