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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. 12274
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    Explanations

    words related to change or adaptation

    oai_token-act-pair · gpt-3.5-turbo

    aspects of patience and timing in decision-making contexts

    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
    framework
    -0.38
     Mandatory
    -0.37
     Nom
    -0.35
    olina
    -0.35
     Formula
    -0.35
    erville
    -0.35
    \",
    -0.35
     Cities
    -0.35
    hens
    -0.34
     Belfast
    -0.34
    POSITIVE LOGITS
    !).
    0.50
     nonetheless
    0.49
    ]."
    0.48
     thereto
    0.47
    ).[
    0.46
     altern
    0.45
     thereafter
    0.44
     thereof
    0.44
    )."
    0.43
    ãģ¾
    0.41
    Activations Density 5.575%

    No Known Activations