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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. 9-RES-JB
    11. 7182
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    Explanations

    technical terms related to specific actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    words related to operations or processes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sw
    -0.76
    SHIP
    -0.74
    aly
    -0.72
    اÙĦ
    -0.64
    alist
    -0.62
    street
    -0.61
    Ùİ
    -0.60
    thumbnails
    -0.59
    usercontent
    -0.58
    Õ
    -0.57
    POSITIVE LOGITS
    omething
    1.28
    ometimes
    1.20
    pace
    1.17
    creen
    1.11
    ilver
    1.10
    hift
    1.10
    peed
    1.07
    heet
    1.06
    everal
    1.04
    pring
    1.02
    Activations Density 0.313%

    No Known Activations