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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. 2-RES-JB
    11. 9279
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    Explanations

    phrases related to numbers or ordering

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Libre
    -0.77
    obo
    -0.71
    oba
    -0.71
    rained
    -0.70
     Olivia
    -0.69
    arella
    -0.68
    runtime
    -0.66
    ial
    -0.66
    oli
    -0.65
     Rapp
    -0.64
    POSITIVE LOGITS
    inburgh
    0.80
    éĹĺ
    0.79
     reluct
    0.79
    selves
    0.75
    resents
    0.75
    borgh
    0.68
    doms
    0.67
    orthern
    0.67
    gencies
    0.66
    sonian
    0.66
    Activations Density 0.021%

    No Known Activations