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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. 7-RES-JB
    11. 4036
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    Explanations

    statements of fact regarding different subjects or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the existence or state of something

    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
     Tro
    -0.73
     Pats
    -0.68
     Rhod
    -0.64
     Pall
    -0.63
     executes
    -0.61
     buys
    -0.61
     retrie
    -0.60
     Fixes
    -0.60
     Portable
    -0.60
     Ping
    -0.60
    POSITIVE LOGITS
    è£ħ
    0.83
    Magikarp
    0.82
    ŃĶ
    0.81
     overshadow
    0.80
    NetMessage
    0.80
     largely
    0.79
    DonaldTrump
    0.78
    SourceFile
    0.78
     hotly
    0.77
    ĸļ
    0.75
    Activations Density 0.416%

    No Known Activations