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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. 6-RES-JB
    11. 7457
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    Explanations

    words related to the act of applying or putting something into action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the application of rules or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    footed
    -0.70
    keeping
    -0.68
    ifa
    -0.67
    mouth
    -0.65
     Island
    -0.65
    ument
    -0.64
    \">
    -0.64
    ago
    -0.63
    obs
    -0.63
    hov
    -0.63
    POSITIVE LOGITS
    rences
    0.75
     apply
    0.75
     inconsist
    0.74
    aution
    0.73
     liber
    0.72
     pressure
    0.70
     uniformly
    0.69
    rals
    0.68
     reluct
    0.68
     Apply
    0.67
    Activations Density 0.029%

    No Known Activations