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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. 6-RES-JB
    11. 21846
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    Explanations

    phrases related to anger

    oai_token-act-pair · gpt-3.5-turbo

    references to feelings of anger and attitudes towards situations or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - anger

    No Comments

    Negative Logits
    ©¶æ
    -0.93
    eah
    -0.84
    ©¶æ¥µ
    -0.79
    ichick
    -0.77
    prus
    -0.75
    ithing
    -0.75
    aeda
    -0.74
    ngth
    -0.74
    cling
    -0.73
    nesday
    -0.71
    POSITIVE LOGITS
    ously
    1.12
    ous
    1.02
    OUS
    0.92
    xual
    0.78
    oes
    0.76
    ishly
    0.72
    anger
    0.69
     Jinn
    0.69
     Madd
    0.67
    mong
    0.66
    Activations Density 0.030%

    No Known Activations