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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. 7620
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    Explanations

    phrases related to people or things getting ready or organizing for an event or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "line up"

    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
     awa
    -0.75
     Mansion
    -0.72
    fulness
    -0.68
    KEN
    -0.68
    fully
    -0.66
    heimer
    -0.64
     Pastebin
    -0.63
     shed
    -0.62
    aken
    -0.61
     Cust
    -0.59
    POSITIVE LOGITS
    river
    0.75
    uce
    0.70
    eret
    0.69
    rieg
    0.69
    votes
    0.68
    osuke
    0.67
    rons
    0.66
     corners
    0.65
    etter
    0.65
    stairs
    0.63
    Activations Density 0.043%

    No Known Activations