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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. 0-RES-JB
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    Explanations

    words related to frustration or being frustrated

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hess
    -0.71
     ausp
    -0.69
    ote
    -0.67
    ature
    -0.66
     hereafter
    -0.66
     Corpse
    -0.66
     Bride
    -0.65
    ocon
    -0.64
    sha
    -0.64
    ary
    -0.64
    POSITIVE LOGITS
     frustrated
    3.14
     frustration
    2.54
     frustrations
    2.31
     frustrating
    2.10
     frust
    1.95
     exasper
    1.85
     dissatisfied
    1.59
     annoyed
    1.59
     irritated
    1.52
     disillusion
    1.49
    Activations Density 0.031%

    No Known Activations