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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. 5983
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    xual
    -0.76
    endas
    -0.76
    arios
    -0.74
    othes
    -0.73
    ets
    -0.71
    ologies
    -0.71
    thia
    -0.70
    hov
    -0.69
    alos
    -0.68
    othal
    -0.66
    POSITIVE LOGITS
    ization
    1.39
    ized
    1.35
    izing
    1.25
    ised
    1.19
    isation
    1.18
    ize
    1.14
    ising
    1.12
    izes
    1.10
     enterprises
    1.08
    ises
    1.03
    Activations Density 0.027%

    No Known Activations