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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. 1-RES-JB
    11. 6533
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    Explanations

    phrases related to degradation or negative transformation

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with processes of development and evolution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Taxi
    -0.83
     Ze
    -0.72
     Pak
    -0.72
    Pak
    -0.67
     Rodriguez
    -0.67
     Meteor
    -0.66
     Carbon
    -0.65
     Techn
    -0.65
     QC
    -0.65
     Cycling
    -0.64
    POSITIVE LOGITS
    ndum
    0.95
    soever
    0.92
     distingu
    0.91
    umbnails
    0.89
    owship
    0.79
    olitan
    0.77
     favour
    0.77
    reditary
    0.76
    oided
    0.76
    iments
    0.75
    Activations Density 0.104%

    No Known Activations