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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
    11. 7290
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    Explanations

    The neuron appears to be looking for numeric patterns such as dates or codes in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    negative numeric values or indices

    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
    earch
    -0.71
     Dickinson
    -0.69
    oleon
    -0.66
     antiv
    -0.61
     constellation
    -0.59
    ernel
    -0.58
     wedd
    -0.58
     sails
    -0.56
    pec
    -0.55
    uers
    -0.54
    POSITIVE LOGITS
    sama
    1.10
    based
    0.99
    _-
    0.95
    related
    0.93
    level
    0.92
    bodied
    0.91
    sized
    0.90
    style
    0.90
    mediated
    0.90
    =-=-=-=-=-=-=-=-
    0.88
    Activations Density 0.311%

    No Known Activations