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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. 10-RES-JB
    11. 5466
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    Explanations

    words related to military forces, specifically focusing on the concept of "infantry"

    oai_token-act-pair · gpt-3.5-turbo

    plural forms of nouns, particularly those related to people or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     generating
    -0.68
     handling
    -0.65
     initiating
    -0.62
     Wasteland
    -0.58
     recoil
    -0.57
     disclosing
    -0.57
     squid
    -0.57
     awaiting
    -0.56
     Boko
    -0.56
     Io
    -0.56
    POSITIVE LOGITS
    sels
    1.27
    sell
    1.27
    sel
    1.22
    hing
    1.21
    hers
    1.14
    semble
    1.08
    sth
    1.05
    imir
    1.01
    quet
    0.99
    hiba
    0.98
    Activations Density 0.075%

    No Known Activations