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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. 10383
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    Explanations

    words related to suffering or extreme discomfort

    oai_token-act-pair · gpt-3.5-turbo

    words related to suffering and distress

    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
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    No Comments

    Negative Logits
     Dragonbound
    -0.73
     Noir
    -0.72
    senal
    -0.65
    videos
    -0.64
    STEP
    -0.64
     Bravo
    -0.64
     neigh
    -0.64
    CHR
    -0.64
    è£ħ
    -0.64
    \\\\\\\\\\\\\\\\
    -0.63
    POSITIVE LOGITS
    erers
    1.40
    ocating
    1.38
    ocation
    1.35
    erer
    1.24
    ocate
    1.22
    rag
    1.21
    ocated
    1.20
    rage
    1.08
    ainment
    1.04
    ixed
    1.03
    Activations Density 0.022%

    No Known Activations