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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4356
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    INDEX
    Explanations

    instances where the audience is encouraged to engage or interact with content

    oai_token-act-pair · gpt-3.5-turbo

    expressions encouraging openness and sharing of thoughts or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     burial
    -0.67
     chain
    -0.66
     restoration
    -0.65
     satellite
    -0.65
     satellites
    -0.62
    endi
    -0.62
     improperly
    -0.62
     chains
    -0.61
    osta
    -0.61
     proposition
    -0.61
    POSITIVE LOGITS
     Feel
    3.59
    Feel
    2.81
    feel
    1.92
     Feeling
    1.66
     Views
    1.25
     Taste
    1.16
     Want
    1.11
     Happiness
    1.04
     Anger
    1.03
     Fear
    1.03
    Activations Density 0.027%

    No Known Activations