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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20298
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thia
    -0.76
    umbnail
    -0.68
    terday
    -0.68
    itored
    -0.68
    borgh
    -0.68
    \\\\\\\\
    -0.67
    ¶ħ
    -0.67
    oS
    -0.66
    ãĥķãĤ©
    -0.66
    olia
    -0.65
    POSITIVE LOGITS
    osphere
    1.18
     industry
    1.16
     sphere
    1.14
     landscape
    1.12
     realm
    1.11
     sector
    1.10
     genre
    1.06
     ecosystem
    1.05
     mindset
    1.01
     economy
    1.00
    Activations Density 0.545%

    No Known Activations