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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. 11-RES-JB
    11. 2212
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    Explanations

    phrases related to requirements or instructions to perform specific actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the necessity or obligation to perform actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.65
    felt
    -0.65
    valued
    -0.60
    quickShipAvailable
    -0.60
     Emerging
    -0.59
    mediated
    -0.58
     Moody
    -0.56
    hur
    -0.55
    omen
    -0.55
    soDeliveryDate
    -0.55
    POSITIVE LOGITS
     manually
    1.02
     convince
    0.96
     dedicate
    0.96
     resort
    0.94
     rely
    0.94
     know
    0.93
     wait
    0.93
     adhere
    0.89
     worry
    0.89
     invest
    0.89
    Activations Density 0.115%

    No Known Activations