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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. 11-RES-JB
    11. 13213
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    Explanations

    words related to emotions and attitudes, particularly focusing on the mood and tone expressed

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional states or moods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earances
    -0.74
    Dou
    -0.67
    ichen
    -0.66
    ipher
    -0.63
    MS
    -0.63
    lege
    -0.63
    vet
    -0.62
    onga
    -0.61
    inka
    -0.59
    wald
    -0.59
    POSITIVE LOGITS
     Towards
    0.90
     toward
    0.89
     towards
    0.83
     conducive
    0.81
     swings
    0.80
    ality
    0.80
     cooker
    0.77
     emanating
    0.77
    uated
    0.77
     shif
    0.76
    Activations Density 0.106%

    No Known Activations