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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. 9-RES-JB
    11. 13787
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    Explanations

    phrases related to military commands and operations

    oai_token-act-pair · gpt-3.5-turbo

    words related to military commands and authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Neighbor
    -0.68
     toget
    -0.65
    BILL
    -0.62
    iders
    -0.61
    Prev
    -0.60
    OHN
    -0.59
     advoc
    -0.59
    ipedia
    -0.59
     Bloom
    -0.58
     Happ
    -0.58
    POSITIVE LOGITS
    eering
    1.37
    eers
    1.20
    eer
    1.16
    ments
    1.04
    ment
    0.93
    aining
    0.89
    ery
    0.88
    nance
    0.88
    hammer
    0.87
    oir
    0.87
    Activations Density 0.044%

    No Known Activations