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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. 4019
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    Explanations

    references to specific names and locations, with a focus on legal or criminal contexts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    identifiers and names related to people or places, particularly those involving the prefix "McKin" and similar variations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Schwe
    -0.65
     Markus
    -0.63
     Scythe
    -0.62
     Jian
    -0.60
     Luxem
    -0.59
     Tomato
    -0.59
     Zoro
    -0.58
     Giov
    -0.58
     Sheep
    -0.57
     Mata
    -0.57
    POSITIVE LOGITS
    ley
    1.07
    ney
    1.03
    letes
    0.93
    illac
    0.88
    onis
    0.82
    leys
    0.81
    lov
    0.81
    sey
    0.80
    mire
    0.79
    enei
    0.78
    Activations Density 0.091%

    No Known Activations