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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. 9-RES-JB
    11. 13754
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    Explanations

    phrases related to client interactions or services

    oai_token-act-pair · gpt-3.5-turbo

    references to legal clients and their interactions with lawyers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Haram
    -0.79
    itialized
    -0.70
    ãĤ¶
    -0.63
     Pole
    -0.62
    ģ«
    -0.62
     Holt
    -0.60
     Sturgeon
    -0.60
    lihood
    -0.59
    flation
    -0.59
    INGTON
    -0.59
    POSITIVE LOGITS
    ele
    1.67
    elist
    0.98
    Rect
    0.88
    hetically
    0.81
    roach
    0.79
    client
    0.77
    eer
    0.75
    aird
    0.73
     client
    0.70
    hetical
    0.70
    Activations Density 0.031%

    No Known Activations