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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. 7-RES-JB
    11. 14454
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    Explanations

    phrases related to military training exercises and drills

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military exercises and training drills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transpl
    -0.67
    clud
    -0.66
    ANCE
    -0.66
     representation
    -0.65
     ful
    -0.64
     cle
    -0.63
    ailable
    -0.61
    elle
    -0.60
    ropy
    -0.60
    ophile
    -0.58
    POSITIVE LOGITS
     conducted
    0.88
    hops
    0.88
    manship
    0.88
    aturday
    0.84
     drills
    0.82
     Canaver
    0.81
    nas
    0.80
     underway
    0.77
    isites
    0.74
     Nasa
    0.74
    Activations Density 0.064%

    No Known Activations