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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. 11-RES-JB
    11. 5150
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    Explanations

    The neuron focuses on identifying special characters, such as parentheses and non-alphanumeric characters

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their associated context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.81
     Catal
    -0.72
     newsp
    -0.68
     tremend
    -0.67
     oun
    -0.67
    ò
    -0.66
     exha
    -0.66
     hopping
    -0.66
     este
    -0.64
     Instr
    -0.63
    POSITIVE LOGITS
    GREEN
    0.84
    PROV
    0.84
    Buy
    0.82
    CLOSE
    0.80
    WASHINGTON
    0.79
    Correct
    0.78
    ILLE
    0.76
    hello
    0.73
    Contribut
    0.73
    DEN
    0.72
    Activations Density 0.126%

    No Known Activations