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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. 7103
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    Explanations

    adjectives related to emotions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to emotional intelligence and emotional states

    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
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    No Comments

    Negative Logits
    emark
    -0.81
    iago
    -0.78
    authorized
    -0.74
    ©¶æ
    -0.74
    ÄŁ
    -0.71
    ateur
    -0.71
    gger
    -0.70
    vich
    -0.70
    tower
    -0.70
    xus
    -0.68
    POSITIVE LOGITS
     roller
    1.04
     attachment
    1.03
     turmoil
    1.00
     distress
    0.98
     maturity
    0.97
     attachments
    0.93
     contag
    0.93
     resonance
    0.93
     intimacy
    0.93
     reactions
    0.91
    Activations Density 0.039%

    No Known Activations