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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. 9-RES-JB
    11. 22721
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    Explanations

    phrases related to lack of meaning or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feelings of worthlessness or lack of significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asio
    -0.89
    arthy
    -0.75
    artney
    -0.72
    ornia
    -0.71
    deck
    -0.70
    orthy
    -0.69
    lished
    -0.65
    ebus
    -0.65
    alez
    -0.65
    rollers
    -0.65
    POSITIVE LOGITS
     distractions
    0.96
     waste
    0.91
     filler
    0.91
     nonsense
    0.88
     rubbish
    0.82
     frivol
    0.81
     meaningless
    0.81
     nuisance
    0.81
     chatter
    0.80
    ness
    0.80
    Activations Density 0.126%

    No Known Activations