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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. 2-RES-JB
    11. 15542
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    Explanations

    words related to feeling let down or dissatisfied

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.75
    facts
    -0.69
    opic
    -0.69
     intensive
    -0.67
    ework
    -0.67
    esi
    -0.67
    issue
    -0.65
    omnia
    -0.65
    heimer
    -0.63
    plane
    -0.63
    POSITIVE LOGITS
     disappointed
    0.97
     disappointment
    0.87
     disappoint
    0.86
    imaru
    0.85
     Customers
    0.80
     aback
    0.77
     adolesc
    0.77
    lehem
    0.75
    NESS
    0.74
     surprises
    0.73
    Activations Density 0.013%

    No Known Activations