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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. 24394
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    Explanations

    phrases related to negative emotions, especially frustration and disappointment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and disappointment

    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
    icle
    -0.78
    icles
    -0.76
    llan
    -0.71
    ram
    -0.70
    estone
    -0.69
    rams
    -0.68
    mans
    -0.68
    missible
    -0.67
    mega
    -0.67
    missions
    -0.65
    POSITIVE LOGITS
    externalActionCode
    0.90
    fulness
    0.83
     arose
    0.76
    terness
    0.75
     arising
    0.74
     arises
    0.72
    lessness
    0.72
     relief
    0.72
    uality
    0.71
     gratification
    0.71
    Activations Density 0.040%

    No Known Activations