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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. 13537
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    Explanations

    words related to strong negative emotions, particularly anger

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rage" and related expressions indicating strong emotional responses

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ramer
    -0.75
    omething
    -0.74
    herty
    -0.72
     pse
    -0.72
    icut
    -0.71
    akeru
    -0.68
    ihara
    -0.67
    metics
    -0.67
    ippi
    -0.65
    agall
    -0.64
    POSITIVE LOGITS
    quit
    1.14
     fury
    0.93
     rage
    0.83
     furnace
    0.82
    bol
    0.81
    ously
    0.79
     raging
    0.79
    ous
    0.79
    stru
    0.75
    naire
    0.74
    Activations Density 0.046%

    No Known Activations