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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. 9408
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    INDEX
    Explanations

    terms related to technological specifications, particularly focusing on the acronym "SR" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to specific SR (sustained release) formulations or products

    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
    cence
    -0.76
    iary
    -0.75
    riad
    -0.75
     Tasman
    -0.75
    makers
    -0.71
     Wand
    -0.71
    gdala
    -0.70
     Bam
    -0.67
    yers
    -0.66
    ça
    -0.66
    POSITIVE LOGITS
    aditional
    0.90
    addle
    0.90
    andom
    0.89
    ategy
    0.88
    idge
    0.87
    acker
    0.85
    ategic
    0.84
    senal
    0.83
    unch
    0.82
    uth
    0.81
    Activations Density 0.019%

    No Known Activations