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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. 0-RES-JB
    11. 18349
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    Explanations

    words related to challenging situations or problems

    oai_token-act-pair · gpt-3.5-turbo

    instances of confrontation and related adversities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Burk
    -0.71
     influenza
    -0.69
     patents
    -0.67
     sentences
    -0.65
     stamps
    -0.65
     Werner
    -0.65
     Sudan
    -0.63
     anecdotal
    -0.63
     rosters
    -0.62
     subscriptions
    -0.61
    POSITIVE LOGITS
    ront
    4.48
    rium
    1.44
    RON
    1.13
    rex
    1.11
    rite
    1.10
    riad
    1.06
    rone
    1.04
    ray
    1.03
    alore
    1.02
    rons
    0.99
    Activations Density 0.023%

    No Known Activations