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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. 10-RES-JB
    11. 11473
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    Explanations

    technical terms and procedures, particularly related to user agreements and software installation

    oai_token-act-pair · gpt-3.5-turbo

    components related to agreements and terms of service

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereafter
    -0.62
    ).[
    -0.61
    .</
    -0.60
     afterward
    -0.60
    .''
    -0.56
    Similarly
    -0.55
    .""
    -0.55
    Likewise
    -0.54
    .).
    -0.54
    )."
    -0.54
    POSITIVE LOGITS
     Canaver
    0.52
    reetings
    0.46
    phal
    0.45
    ©¶æ
    0.43
     Conce
    0.42
    orrect
    0.41
    matical
    0.40
     Introduction
    0.40
    raft
    0.39
    osate
    0.39
    Activations Density 2.089%

    No Known Activations