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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. 6-RES-JB
    11. 517
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    Explanations

    words related to feelings or emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional states or feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Camer
    -0.70
    photos
    -0.66
    adish
    -0.64
     Agricultural
    -0.60
     Display
    -0.60
     Delivery
    -0.60
     Correspond
    -0.59
    apo
    -0.59
    atile
    -0.58
     Uni
    -0.58
    POSITIVE LOGITS
     comfortable
    0.98
     uneasy
    0.92
     compelled
    0.90
     uncomfortable
    0.86
     passionately
    0.83
     vibrations
    0.82
    rils
    0.80
    ulz
    0.79
     nostalgic
    0.77
     recoil
    0.77
    Activations Density 0.038%

    No Known Activations