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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. 3-RES-JB
    11. 20559
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    INDEX
    Explanations

    the terms or contexts that indicate a lack of purpose or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to futility or lack of value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.88
    orthy
    -0.88
    asio
    -0.78
    artney
    -0.74
    uph
    -0.70
    aeper
    -0.69
    avia
    -0.69
    avanaugh
    -0.67
    arthy
    -0.67
    obar
    -0.67
    POSITIVE LOGITS
     waste
    0.96
     useless
    0.86
     wastes
    0.84
     filler
    0.82
     meaningless
    0.79
     pointless
    0.77
     nonsense
    0.76
     worthless
    0.75
     idiots
    0.74
     wast
    0.72
    Activations Density 0.020%

    No Known Activations