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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. 7-RES-JB
    11. 12471
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to intrusion and unauthorized access

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    creen
    -1.03
    wagen
    -0.88
    ndra
    -0.86
    IELD
    -0.80
    cake
    -0.79
    姫
    -0.77
    baum
    -0.71
    LESS
    -0.71
    hirt
    -0.69
    maker
    -0.69
    POSITIVE LOGITS
    uders
    1.14
    uding
    1.11
    ordinary
    0.92
    usions
    0.90
    uded
    0.89
    inx
    0.89
     intr
    0.88
    asonic
    0.87
    igent
    0.87
    udes
    0.84
    Activations Density 0.022%

    No Known Activations