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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. 1-RES-JB
    11. 15923
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    Explanations

    words related to significant events or revelations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to continuous or ongoing concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fooled
    -0.67
     worms
    -0.66
     fuzzy
    -0.63
     simplicity
    -0.61
     prov
    -0.61
    ooks
    -0.61
    aciously
    -0.60
     glim
    -0.60
    acteria
    -0.59
     diversity
    -0.59
    POSITIVE LOGITS
    soDeliveryDate
    0.75
     Canter
    0.70
     Sahara
    0.69
     Pillar
    0.67
    MSN
    0.63
    Newsletter
    0.63
     Bloody
    0.63
    OTUS
    0.62
     Jenner
    0.62
     Nam
    0.62
    Activations Density 0.000%

    No Known Activations