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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. 0-RES-JB
    11. 12284
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    Explanations

    words related to positive evaluation or likability

    oai_token-act-pair · gpt-3.5-turbo

    words related to flavors or taste

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pent
    -0.75
     pant
    -0.64
     bats
    -0.63
     reconstruction
    -0.63
     bleeding
    -0.62
     plumbing
    -0.62
    EngineDebug
    -0.61
     machines
    -0.60
     dolls
    -0.60
     desks
    -0.59
    POSITIVE LOGITS
    avour
    3.91
    avor
    3.69
    avored
    1.81
    avorite
    1.54
     Favor
    1.54
    avorable
    1.48
    av
    1.32
    riend
    1.14
     favor
    1.09
     favorably
    0.96
    Activations Density 0.027%

    No Known Activations