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    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. 2378
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    INDEX
    Explanations

    terms related to inventory and stockpiling of goods

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to inventory management and stockpiling

    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
    DAY
    -0.68
     Johann
    -0.68
    hua
    -0.67
    fx
    -0.66
    gi
    -0.66
    light
    -0.66
    boxing
    -0.66
    pher
    -0.64
    days
    -0.63
    borough
    -0.62
    POSITIVE LOGITS
     shelves
    1.02
    ories
    0.82
     holdings
    0.80
     stockpile
    0.80
     stockp
    0.78
     inventory
    0.78
     amassed
    0.74
     hoard
    0.74
     shelf
    0.73
    erie
    0.73
    Activations Density 0.040%

    No Known Activations