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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. 383
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    Explanations

    quotations starting with single quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue

    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
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    Negative Logits
    manship
    -0.81
    ensen
    -0.69
     Gott
    -0.64
     Archdemon
    -0.64
    âĹ¼
    -0.60
     Meier
    -0.58
     Archangel
    -0.58
    acket
    -0.58
    ãĥ¼ãĥ«
    -0.57
    noon
    -0.57
    POSITIVE LOGITS
    Interstitial
    1.17
    MpServer
    1.01
    taboola
    0.93
    uminium
    0.78
    Mech
    0.78
    ructose
    0.76
    avez
    0.75
     Seasons
    0.74
    yss
    0.74
    erate
    0.74
    Activations Density 0.042%

    No Known Activations