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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. 2-RES-JB
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    Explanations

    mentions of the word 'casual' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to casualness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.75
    burgh
    -0.71
    Rated
    -0.70
    hner
    -0.68
    =-=-=-=-=-=-=-=-
    -0.67
     Luk
    -0.67
     Frie
    -0.66
    HCR
    -0.66
     Shutterstock
    -0.66
     Nanto
    -0.66
    POSITIVE LOGITS
     casual
    0.95
    ual
    0.93
    aneously
    0.84
     observer
    0.83
    cas
    0.82
    aneous
    0.82
    rontal
    0.79
    ization
    0.78
    ties
    0.76
    ishly
    0.75
    Activations Density 0.010%

    No Known Activations