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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. 3726
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    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics or performance metrics

    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
     scept
    -0.85
    ansk
    -0.84
     endeavour
    -0.81
     barr
    -0.80
     petrol
    -0.79
     behaviour
    -0.79
     organis
    -0.79
     sulph
    -0.78
     Vik
    -0.77
     aluminium
    -0.76
    POSITIVE LOGITS
    Detroit
    1.31
    NBA
    1.27
    ESPN
    1.26
    Players
    1.25
    Coach
    1.24
    NFL
    1.20
    Atlanta
    1.20
    Dallas
    1.18
    Houston
    1.15
    Michigan
    1.13
    Activations Density 0.402%

    No Known Activations