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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. 9818
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to applications or apps

    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
     Deity
    -0.76
    terday
    -0.67
    EngineDebug
    -0.65
     Halls
    -0.64
    bilt
    -0.63
    ovych
    -0.63
    xual
    -0.63
     cigars
    -0.63
    noon
    -0.62
     corridors
    -0.61
    POSITIVE LOGITS
    alach
    1.14
    ortion
    1.07
    reciation
    0.97
    legate
    0.96
    ointment
    0.95
    ropri
    0.92
    earance
    0.92
    ellation
    0.87
    rentices
    0.87
    osite
    0.87
    Activations Density 0.027%

    No Known Activations