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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. 6-RES-JB
    11. 24544
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.80
    zees
    -0.77
     horizont
    -0.77
     peers
    -0.76
    ithing
    -0.75
    leground
    -0.73
    ebus
    -0.73
    ufact
    -0.72
     IPM
    -0.72
    zee
    -0.72
    POSITIVE LOGITS
    ãĥ¼ãĥ
    1.84
    ãĥ³
    1.76
    ãĥ«
    1.71
    ãĥ¼
    1.70
    ãĥ¼ãĥ³
    1.62
    ãĥª
    1.61
    ãĤ¯
    1.61
    ãĤ¿
    1.59
    ãĥĥ
    1.57
    ãĤª
    1.55
    Activations Density 0.008%

    No Known Activations