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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
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    Explanations

    vulgar terms and expressions related to frustration or anger

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and irritation

    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
    •layer 2 - anger

    No Comments

    Negative Logits
     Scotia
    -0.74
    liv
    -0.73
    assisted
    -0.69
    elve
    -0.67
    ellen
    -0.67
    iolet
    -0.65
    akespe
    -0.64
    operated
    -0.64
    HCR
    -0.63
    fee
    -0.62
    POSITIVE LOGITS
     piss
    1.03
    -+
    0.83
    pants
    0.78
    ging
    0.75
    =-=-
    0.74
     Outs
    0.74
    pee
    0.71
     teasp
    0.70
     pee
    0.70
    uable
    0.69
    Activations Density 0.004%

    No Known Activations