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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. 6-RES-JB
    11. 7992
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    Explanations

    specific numerical codes, possibly related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    numerical sequences, particularly those that resemble addresses or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.80
    neys
    -0.78
    icial
    -0.72
    sterdam
    -0.68
    amount
    -0.68
    ulet
    -0.65
    lings
    -0.65
    ston
    -0.62
    lined
    -0.61
    steen
    -0.61
    POSITIVE LOGITS
     partName
    0.98
    603
    0.83
    703
    0.82
    646
    0.81
    806
    0.80
    608
    0.79
    807
    0.78
    605
    0.77
    409
    0.77
    201
    0.75
    Activations Density 0.051%

    No Known Activations