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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. 7-RES-JB
    11. 200
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    Explanations

    numbers with a hyphen between them, potentially indicating a range or scale

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.82
     Dickinson
    -0.82
     Kuh
    -0.71
     Silk
    -0.69
     Sik
    -0.68
     Cath
    -0.65
     Wass
    -0.65
     Gins
    -0.65
     Cyn
    -0.64
     Kau
    -0.64
    POSITIVE LOGITS
    sized
    1.17
    billion
    1.15
    based
    1.08
    inch
    1.07
    million
    1.05
    hour
    1.03
    powered
    1.01
    scale
    0.97
    derived
    0.96
    themed
    0.95
    Activations Density 0.055%

    No Known Activations