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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. 12194
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    Explanations

    mentions of something not happening or not being done, emphasized by negation

    oai_token-act-pair · gpt-3.5-turbo

    negations or words indicating the absence of something

    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
    Kings
    -0.60
     Mirage
    -0.58
     Metallic
    -0.57
     Medium
    -0.56
     Dickinson
    -0.56
     Interface
    -0.56
     Strategy
    -0.56
     Houses
    -0.55
    ixtures
    -0.55
    OST
    -0.54
    POSITIVE LOGITS
     necessarily
    1.01
     hesitate
    0.98
     be
    0.96
    ogether
    0.93
     bud
    0.91
    ember
    0.88
     tolerate
    0.86
    itles
    0.85
    urtle
    0.85
     interfere
    0.84
    Activations Density 0.054%

    No Known Activations