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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. 1-RES-JB
    11. 21070
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    Explanations

    expressions of dissatisfaction or letdown

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.74
    educ
    -0.66
    omnia
    -0.65
     Mountains
    -0.65
    ework
    -0.65
    location
    -0.64
    apa
    -0.64
     intensive
    -0.63
    opic
    -0.63
    appropri
    -0.62
    POSITIVE LOGITS
     disappointed
    1.13
     disappoint
    0.93
     disappointment
    0.92
     aback
    0.88
    imaru
    0.78
    lehem
    0.76
     remorse
    0.74
    NESS
    0.73
     adolesc
    0.73
    GGGG
    0.72
    Activations Density 0.012%

    No Known Activations