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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    expressions of happiness or satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    expressions of happiness or contentment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 0 - happiness

    No Comments

    Negative Logits
    specified
    -0.76
    IQ
    -0.69
    Inter
    -0.64
    scale
    -0.63
    defined
    -0.61
    QB
    -0.59
     API
    -0.57
    break
    -0.57
    Ob
    -0.57
    QL
    -0.57
    POSITIVE LOGITS
     glad
    3.42
     thankful
    2.05
     grateful
    1.85
     pleased
    1.58
     happy
    1.56
     Glad
    1.49
     proud
    1.46
     sorry
    1.41
     relieved
    1.36
     delighted
    1.35
    Activations Density 0.009%

    No Known Activations