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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. 1-RES-JB
    11. 7371
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    Explanations

    phrases related to specific locations and individuals

    oai_token-act-pair · gpt-3.5-turbo

    the name "Wol" and variations of it in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ificantly
    -0.79
    æĸ¹
    -0.74
    è¦ļéĨĴ
    -0.73
    ALLY
    -0.72
    ADRA
    -0.71
    ificant
    -0.70
    ainment
    -0.70
    mble
    -0.69
    ģĸ
    -0.69
    ream
    -0.66
    POSITIVE LOGITS
    sten
    1.12
     Wol
    1.10
    bach
    0.93
     Osw
    0.84
    anus
    0.83
    bats
    0.83
    witz
    0.81
    quin
    0.81
    ffer
    0.80
    trop
    0.79
    Activations Density 0.006%

    No Known Activations