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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. 6-RES-JB
    11. 1476
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    Explanations

    social events and activities where people gather

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of gatherings and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    less
    -0.65
    Bey
    -0.64
    asus
    -0.61
    enough
    -0.59
     chromosome
    -0.59
    Redditor
    -0.59
     Factor
    -0.59
     Libertarian
    -0.58
     Species
    -0.58
     pestic
    -0.58
    POSITIVE LOGITS
    hips
    1.45
    uggest
    1.25
    chool
    1.24
    hip
    1.20
    ettings
    1.18
    paces
    1.15
    mith
    1.10
    hare
    1.09
    hops
    1.07
    poons
    1.07
    Activations Density 0.333%

    No Known Activations