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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. 4-RES-JB
    11. 22140
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    Explanations

    words related to gear or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to equipment or gear

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

    No Comments

    Negative Logits
     CTR
    -0.89
    eas
    -0.69
    aukee
    -0.67
    deen
    -0.64
    een
    -0.63
    eenth
    -0.63
     Fas
    -0.63
     Mub
    -0.62
    agonists
    -0.61
     Bie
    -0.61
    POSITIVE LOGITS
     gear
    1.12
    box
    1.05
    boxes
    0.98
    bag
    0.92
    paio
    0.80
    gear
    0.79
    bags
    0.78
     worn
    0.75
    wagon
    0.74
    ifted
    0.74
    Activations Density 0.010%

    No Known Activations