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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. 6-RES-JB
    6. 16742
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    INDEX
    Explanations

    abbreviations of the word 'serious'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to service or servitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orney
    -0.77
    enh
    -0.75
    ucket
    -0.70
    avorite
    -0.68
    endi
    -0.66
    ouls
    -0.64
    agascar
    -0.63
    elia
    -0.63
     Ridley
    -0.63
     AFB
    -0.62
    POSITIVE LOGITS
    geant
    1.11
    vier
    1.02
    vable
    0.90
    vers
    0.90
    pent
    0.85
    gio
    0.84
    vous
    0.81
    vel
    0.80
    ving
    0.79
    pine
    0.77
    Activations Density 0.034%

    No Known Activations