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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. 2-RES-JB
    11. 11227
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    Explanations

    **phrases related to danger or risky situations.**

    oai_token-act-pair · gpt-3.5-turbo

    words related to anger or causing anger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.81
    estinal
    -0.63
     floor
    -0.62
     iron
    -0.62
    bal
    -0.61
    balanced
    -0.61
    ichick
    -0.61
     steel
    -0.61
    ij
    -0.61
    Ĥİ
    -0.60
    POSITIVE LOGITS
    angers
    0.96
    auga
    0.86
    hov
    0.80
     extraord
    0.78
    folk
    0.77
    anger
    0.76
    keeper
    0.73
     unlaw
    0.73
    maid
    0.72
     behav
    0.70
    Activations Density 0.005%

    No Known Activations