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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. 3-RES-JB
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    The neuron is looking for mentions of the term "Ha" with varying degrees of specificity and relevance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Haqqani," indicating a focus on a specific insurgent group related to Afghanistan and Pakistan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.88
    eenth
    -0.87
    eers
    -0.84
    âķIJ
    -0.82
    manship
    -0.80
    ij士
    -0.80
    inho
    -0.76
    ments
    -0.76
    icipated
    -0.74
     largeDownload
    -0.74
    POSITIVE LOGITS
    Ha
    1.04
     Ha
    1.00
    irst
    0.93
    vel
    0.90
    ifa
    0.85
    iky
    0.85
    iku
    0.84
    HAHA
    0.81
    pless
    0.79
    iley
    0.79
    Activations Density 0.005%

    No Known Activations