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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. 10-RES-JB
    11. 4989
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    Explanations

    emotional and intense words or expressions

    oai_token-act-pair · gpt-3.5-turbo

    emotional states and expressions related to regret, sadness, and disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tatt
    -0.61
    versely
    -0.60
    umbn
    -0.58
     paradise
    -0.57
    hao
    -0.57
    ynchron
    -0.56
     triv
    -0.55
    ynt
    -0.55
     integ
    -0.54
    rame
    -0.53
    POSITIVE LOGITS
    enance
    0.86
    lessness
    0.79
     bordering
    0.77
    idious
    0.73
    idence
    0.72
    ateurs
    0.66
     imaginable
    0.65
    smanship
    0.64
    assion
    0.64
     afore
    0.63
    Activations Density 0.234%

    No Known Activations