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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. 4-RES-JB
    11. 12496
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gie
    -0.71
    çīĪ
    -0.71
    lyn
    -0.69
    DOM
    -0.68
    Snow
    -0.66
     Boone
    -0.66
    Hug
    -0.65
    stand
    -0.65
    anne
    -0.65
    eries
    -0.64
    POSITIVE LOGITS
     tuna
    1.05
    omore
    0.86
    anced
    0.85
    alore
    0.84
    ancing
    0.81
    inction
    0.73
    orship
    0.71
    ances
    0.70
    ovember
    0.69
    ricular
    0.68
    Activations Density 0.036%

    No Known Activations