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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. 4-RES-JB
    11. 554
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    Explanations

    mentions of important or significant topics or matters

    oai_token-act-pair · gpt-3.5-turbo

    terms related to issues and project-related discussions

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

    No Comments

    Negative Logits
    ALLY
    -0.73
    \\\\\\\\
    -0.66
    Delivery
    -0.66
    UTERS
    -0.65
    Motion
    -0.63
     Month
    -0.62
    OV
    -0.62
     Dhabi
    -0.60
    Street
    -0.60
    ression
    -0.59
    POSITIVE LOGITS
    etter
    1.18
    mith
    1.09
    etting
    1.04
    cape
    0.92
    linger
    0.87
    pring
    0.87
    ettings
    0.87
     themselves
    0.86
     surrounding
    0.83
    ultan
    0.78
    Activations Density 0.473%

    No Known Activations