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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. 7-RES-JB
    11. 18066
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    Explanations

    words related to the concept of lack of significance or purpose

    oai_token-act-pair · gpt-3.5-turbo

    terms related to meaninglessness and irrelevance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.78
    asio
    -0.77
    odan
    -0.73
    ebus
    -0.71
    Bio
    -0.67
    arta
    -0.66
    rers
    -0.65
    artney
    -0.64
    orthy
    -0.64
    âķIJâķIJ
    -0.63
    POSITIVE LOGITS
     waste
    0.83
     distractions
    0.77
     filler
    0.73
    ality
    0.71
     mund
    0.71
     nuisance
    0.69
     lux
    0.67
     chatter
    0.67
     useless
    0.66
     anymore
    0.66
    Activations Density 0.071%

    No Known Activations