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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. 3-RES-JB
    11. 3660
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    Explanations

    words related to emotions, especially with a strong emotional intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional states and expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etts
    -0.70
    gger
    -0.70
    etting
    -0.70
    lain
    -0.68
    fold
    -0.67
    ribution
    -0.67
    lust
    -0.66
    still
    -0.65
    ARDS
    -0.65
    abad
    -0.64
    POSITIVE LOGITS
    orically
    0.88
     distress
    0.86
     feelings
    0.83
    otional
    0.82
     contag
    0.82
     outburst
    0.81
     reactions
    0.80
     wellbeing
    0.80
     maturity
    0.79
     arousal
    0.79
    Activations Density 0.010%

    No Known Activations