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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. 9-RES-JB
    11. 4911
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    Explanations

    references to virtual reality gear and equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to specific gaming equipment or accessories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CTR
    -0.74
     Mub
    -0.70
    pling
    -0.66
     Debor
    -0.65
    enance
    -0.63
    issance
    -0.63
    ei
    -0.62
     Mellon
    -0.61
     Dum
    -0.61
    PsyNetMessage
    -0.61
    POSITIVE LOGITS
    box
    1.12
    boxes
    1.07
    bag
    0.99
     gear
    0.90
    bags
    0.89
    heads
    0.85
    azine
    0.81
    gear
    0.81
    shift
    0.79
    worms
    0.77
    Activations Density 0.042%

    No Known Activations