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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. 10-RES-JB
    11. 10509
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    Explanations

    instances where actions are taken even in the face of challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express conditional scenarios or hypothetical situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pour
    -0.68
     Royale
    -0.66
    NetMessage
    -0.64
     Anything
    -0.63
    Connector
    -0.60
    edient
    -0.59
     Pressure
    -0.58
    undrum
    -0.58
    à¥
    -0.57
    inqu
    -0.57
    POSITIVE LOGITS
     technically
    1.02
     admittedly
    0.94
     disagree
    0.94
     disagreed
    0.86
     otherwise
    0.86
     weren
    0.86
     ostensibly
    0.86
     pretend
    0.81
     admit
    0.81
     disagrees
    0.80
    Activations Density 0.147%

    No Known Activations