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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. 8520
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    Explanations

    words related to weapons or military terms

    oai_token-act-pair · gpt-3.5-turbo

    references to cadets and related terminology

    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
     Borders
    -0.82
    square
    -0.70
     pity
    -0.68
    icago
    -0.67
    ãģį
    -0.65
     Fargo
    -0.64
    ãĥĦ
    -0.62
     Webster
    -0.62
    lift
    -0.61
    stretched
    -0.61
    POSITIVE LOGITS
    eter
    0.92
    illac
    0.92
    enary
    0.91
    eton
    0.89
    estones
    0.89
    ency
    0.89
    rown
    0.89
    enza
    0.89
    illon
    0.88
    leton
    0.87
    Activations Density 0.029%

    No Known Activations