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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4287
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    Explanations

    sequences or words related to the word 'sequence'

    oai_token-act-pair · gpt-3.5-turbo

    references to sequencing or sequencer-related concepts

    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
    loo
    -1.09
    hips
    -0.90
    abby
    -0.89
    oppable
    -0.87
    ushing
    -0.85
    ijk
    -0.80
    ports
    -0.75
    porting
    -0.73
    mir
    -0.72
    ruck
    -0.72
    POSITIVE LOGITS
    pta
    1.00
    enced
    0.91
    encing
    0.88
    encer
    0.86
     Contra
    0.80
    CAST
    0.77
    ences
    0.77
    aign
    0.76
    irements
    0.76
    ptions
    0.69
    Activations Density 0.079%

    No Known Activations