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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. 11-RES-JB
    11. 22012
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    Explanations

    words related to disappointment or unfortunate events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FN
    -0.74
    ivating
    -0.66
    cellent
    -0.65
    ibly
    -0.65
     enhancement
    -0.64
    strength
    -0.63
     distinctive
    -0.63
    encers
    -0.62
    verning
    -0.62
     Checks
    -0.61
    POSITIVE LOGITS
     disappoint
    1.17
     sadly
    1.15
     :(
    1.14
     tragically
    1.10
     unfortunately
    1.08
     missed
    1.02
     disappointed
    1.02
     tarn
    0.99
     lost
    0.97
     misunderstand
    0.97
    Activations Density 0.374%

    No Known Activations