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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. 2-RES-JB
    11. 764
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    Explanations

    the word "drown" and its variations

    oai_token-act-pair · gpt-4-turbo

    mentions or descriptions of drowning

    oai_token-act-pair · gpt-3.5-turbo

    instances and mentions of drowning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.66
    arel
    -0.59
    appro
    -0.59
     Collider
    -0.59
    WB
    -0.57
    avez
    -0.56
     bye
    -0.56
    ################
    -0.55
    rity
    -0.55
     Eisenhower
    -0.55
    POSITIVE LOGITS
     drown
    1.23
     drowning
    1.04
     drowned
    0.98
    leneck
    0.98
    oling
    0.80
     overboard
    0.76
    ocket
    0.75
    oon
    0.72
    icates
    0.72
     ashore
    0.72
    Activations Density 0.006%

    No Known Activations