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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. 12100
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    Explanations

    The presence of specific programming technical terms related to arrays

    oai_token-act-pair · gpt-3.5-turbo

    references to data structures and algorithms in programming

    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
    peria
    -0.72
    nen
    -0.71
    psey
    -0.70
     Pioneer
    -0.69
    tek
    -0.67
    senal
    -0.65
    amph
    -0.64
     Restoration
    -0.64
    gear
    -0.64
    tips
    -0.64
    POSITIVE LOGITS
     algebra
    0.98
     seq
    0.85
     integers
    0.84
    gebra
    0.84
    sequence
    0.83
     recursive
    0.81
    (),
    0.81
    seq
    0.79
    Buffer
    0.76
    ¶
    0.76
    Activations Density 0.196%

    No Known Activations