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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. 4-RES-JB
    11. 7260
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    Explanations

    individuals mentioned in news articles or other media

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" as it relates to identifying individuals in a context

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

    No Comments

    Negative Logits
     Bound
    -0.72
    ulp
    -0.69
    ³³³³
    -0.66
    BACK
    -0.64
     Delicious
    -0.62
    interstitial
    -0.62
    Georg
    -0.61
     Messages
    -0.60
    utable
    -0.60
     Nec
    -0.60
    POSITIVE LOGITS
    soever
    0.98
    ophon
    0.96
    raltar
    0.89
     oversees
    0.85
     resided
    0.85
     oversaw
    0.85
     accompanies
    0.85
     attended
    0.84
     redes
    0.83
     presided
    0.82
    Activations Density 0.079%

    No Known Activations