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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. 3-RES-JB
    11. 22628
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific name or term repeatedly mentioned in the context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.07
    ĨĴ
    -0.93
    ¬¼
    -0.90
    EStream
    -0.77
    assetsadobe
    -0.76
    milo
    -0.75
    ĪĴ
    -0.74
    éĹĺ
    -0.73
    £ı
    -0.69
    CRIP
    -0.68
    POSITIVE LOGITS
    riage
    1.07
    beit
    1.06
    aja
    0.99
    ctica
    0.95
    assment
    0.94
    acter
    0.92
    acing
    0.90
    riages
    0.90
    amac
    0.89
    ach
    0.89
    Activations Density 0.030%

    No Known Activations