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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. 10-RES-JB
    11. 5563
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    Explanations

    numbers and numerical ranges

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to numerical quantities or ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ORIG
    -0.67
     artif
    -0.67
    2
    -0.67
    PLA
    -0.65
    vp
    -0.65
    Reloaded
    -0.64
     RP
    -0.64
    UGE
    -0.63
    soType
    -0.63
    ickr
    -0.63
    POSITIVE LOGITS
     eleven
    1.73
     twelve
    1.72
     fourteen
    1.70
     thirteen
    1.67
     fifteen
    1.65
     sixteen
    1.63
     seven
    1.63
     eight
    1.61
     ten
    1.60
     eighteen
    1.58
    Activations Density 0.132%

    No Known Activations