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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. 3-RES-JB
    11. 9601
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    Explanations

    instances related to the handling or management of various situations or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the handling of various cases or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atory
    -0.73
     recomm
    -0.73
    elong
    -0.72
    hemat
    -0.69
    urt
    -0.69
    mpeg
    -0.67
    zyme
    -0.65
    laws
    -0.65
     secondly
    -0.65
    interrupted
    -0.65
    POSITIVE LOGITS
    bars
    0.97
     handled
    0.79
     handles
    0.77
    ttes
    0.77
     mishand
    0.76
     handle
    0.74
    VICE
    0.74
    terness
    0.73
     handling
    0.71
     Handle
    0.70
    Activations Density 0.015%

    No Known Activations