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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 14666
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of statistical or analytical comparisons and terms related to research outcomes

    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
    ividual
    -0.73
     RELEASE
    -0.72
     UID
    -0.70
    ysis
    -0.70
     Cosponsors
    -0.69
    DoS
    -0.68
    PsyNetMessage
    -0.68
    rahim
    -0.66
     sums
    -0.65
     resemb
    -0.64
    POSITIVE LOGITS
     commonplace
    1.18
     prevalent
    1.14
     predominant
    1.08
     trendy
    1.02
     fashionable
    1.00
     preferred
    0.99
     rampant
    0.98
     scarce
    0.94
     frowned
    0.93
     substituted
    0.92
    Activations Density 0.555%

    No Known Activations