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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. 3-RES-JB
    11. 6982
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    Explanations

    verbs indicating future actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "re."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.74
     Nicarag
    -0.67
     CPR
    -0.67
     lapt
    -0.66
     Pebble
    -0.65
     Seah
    -0.65
    Pocket
    -0.64
     tracker
    -0.64
     simulator
    -0.61
     MSI
    -0.61
    POSITIVE LOGITS
    ngth
    1.05
    versible
    1.04
    aper
    1.01
    porter
    1.00
    apers
    0.99
    becca
    0.97
    leases
    0.95
    onds
    0.93
    actor
    0.92
    venge
    0.92
    Activations Density 0.038%

    No Known Activations