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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. 9542
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    INDEX
    Explanations

    mentions of advantages

    oai_token-act-pair · gpt-3.5-turbo

    references to advantages

    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
    Not in Any Lists

    No Comments

    Negative Logits
     vandal
    -0.61
     Inquiry
    -0.59
     (@
    -0.58
    comment
    -0.57
     titled
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    pol
    -0.57
     Cart
    -0.57
    REL
    -0.56
    ipop
    -0.56
    cycl
    -0.56
    POSITIVE LOGITS
     advantages
    3.70
     disadvantages
    2.89
     advantage
    2.25
     drawbacks
    2.10
    advant
    1.99
     benefits
    1.99
     disadvantage
    1.98
     strengths
    1.89
     Advantage
    1.76
     superiority
    1.74
    Activations Density 0.014%

    No Known Activations