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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. 16219
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to insolvency and related conditions

    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
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    Negative Logits
    cellence
    -0.74
    oshenko
    -0.72
    rice
    -0.71
    Unity
    -0.70
    Fra
    -0.70
    tis
    -0.66
     Onion
    -0.66
    united
    -0.65
    abouts
    -0.65
    Fram
    -0.64
    POSITIVE LOGITS
    wered
    0.78
    orno
    0.72
    ãĥ¼ãĥ
    0.67
    ificant
    0.67
     distressed
    0.64
     mortgage
    0.61
    pport
    0.60
    ullah
    0.59
     prophe
    0.59
    nyder
    0.59
    Activations Density 0.072%

    No Known Activations