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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. 1-RES-JB
    11. 15980
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    Explanations

    technology-related company names

    oai_token-act-pair · gpt-3.5-turbo

    names of technology companies and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pipe
    -0.85
    ilet
    -0.84
    pots
    -0.81
    ired
    -0.77
    ussy
    -0.76
    horse
    -0.75
    aghd
    -0.75
    unal
    -0.72
    raint
    -0.72
    orne
    -0.71
    POSITIVE LOGITS
     caut
    0.77
    lda
    0.76
     introdu
    0.70
     Guest
    0.68
     capac
    0.67
    CLASSIFIED
    0.66
     towers
    0.62
     Fusion
    0.61
     GOODMAN
    0.60
     convergence
    0.60
    Activations Density 0.028%

    No Known Activations