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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. 3141
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    Explanations

    words related to recognition or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    words and variations related to recognition and acknowledgment

    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
     mileage
    -0.71
    hours
    -0.70
    inventoryQuantity
    -0.66
    scenes
    -0.64
     ABE
    -0.63
     Beir
    -0.63
    Far
    -0.61
     Grayson
    -0.60
    RAW
    -0.59
    Charges
    -0.59
    POSITIVE LOGITS
    ogn
    1.09
    ocent
    1.08
    ito
    1.02
    icious
    1.01
    omore
    0.99
    eous
    0.99
    acio
    0.97
    itives
    0.97
    ition
    0.96
    istic
    0.93
    Activations Density 0.004%

    No Known Activations