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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. 9-RES-JB
    11. 4762
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    nouns related to various types of projects, ideas, and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atorium
    -0.67
     unden
    -0.64
    amaz
    -0.64
    same
    -0.61
    awar
    -0.60
    guyen
    -0.60
     earthqu
    -0.59
    asus
    -0.59
    ãĤ©
    -0.59
    named
    -0.58
    POSITIVE LOGITS
    paces
    1.43
    hips
    1.15
    pace
    1.12
     such
    1.01
    mith
    0.98
    uits
    0.93
    ourcing
    0.93
     involving
    0.93
     like
    0.90
    hooting
    0.89
    Activations Density 0.592%

    No Known Activations