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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. 1-RES-JB
    11. 16236
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    Explanations

    words related to negative emotions or reactions, particularly feelings like anger or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger, frustration, or resentment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essions
    -0.68
    omething
    -0.66
     Staten
    -0.65
     Sacrifice
    -0.64
     Zombies
    -0.63
    inatory
    -0.63
    ipeg
    -0.61
     Operator
    -0.60
    ym
    -0.59
     Blacks
    -0.59
    POSITIVE LOGITS
     ire
    1.15
     wrath
    0.96
    ãĥķãĤ¡
    0.92
    ãĥĨ
    0.89
    terness
    0.87
    fulness
    0.85
    vine
    0.81
     flare
    0.80
    fully
    0.77
    bolt
    0.73
    Activations Density 0.014%

    No Known Activations