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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. 23362
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    Explanations

    references to dogs in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to chickens and eggs

    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
     Bie
    -0.60
     Dame
    -0.60
    zing
    -0.59
     Mub
    -0.58
     Waterloo
    -0.58
     Spurs
    -0.58
    ÅŁ
    -0.58
     idols
    -0.56
     Hes
    -0.55
     vigil
    -0.55
    POSITIVE LOGITS
    ernaut
    1.12
    arette
    1.11
    regor
    0.99
    rowth
    0.94
    raph
    0.94
    raft
    0.90
    raphics
    0.89
    resso
    0.88
    iants
    0.88
    plot
    0.87
    Activations Density 0.030%

    No Known Activations