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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. 6-RES-JB
    11. 560
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    Explanations

    phrases related to a specific person named "Ren"

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the name "Ren" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.73
    Ö¼
    -0.73
    stakes
    -0.69
     Difficulty
    -0.67
    iculty
    -0.67
    =-=-
    -0.67
    HAEL
    -0.66
    £ı
    -0.66
    aneers
    -0.66
     mileage
    -0.65
    POSITIVE LOGITS
    unciation
    1.16
    issance
    1.12
    ovation
    1.06
    unci
    1.06
    aming
    0.96
    owned
    0.93
    oir
    0.92
    esc
    0.91
    emy
    0.90
    ouncing
    0.88
    Activations Density 0.023%

    No Known Activations