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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. 9-RES-JB
    11. 17255
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal consequences or penalties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atech
    -0.75
    psc
    -0.69
     Tycoon
    -0.69
     Own
    -0.67
    engine
    -0.66
    unes
    -0.66
    gamer
    -0.65
    ãĥ³ãĤ¸
    -0.65
    imate
    -0.65
    maxwell
    -0.64
    POSITIVE LOGITS
     eventual
    1.21
     abandonment
    1.15
     acknowledgement
    1.13
     dismissal
    1.07
     closure
    1.05
     expulsion
    1.05
     elimination
    1.04
     acknowledgment
    1.02
     termination
    1.02
     consequ
    1.01
    Activations Density 0.414%

    No Known Activations