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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. 9-RES-JB
    11. 2920
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    Explanations

    phrases expressing freedom of choice or action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of freedom and choice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itudinal
    -0.69
    sha
    -0.63
    âĵĺ
    -0.62
     âĵĺ
    -0.59
    dust
    -0.59
     Siren
    -0.58
     Lauder
    -0.57
    ãĤ©
    -0.57
    ridor
    -0.56
     VIS
    -0.54
    POSITIVE LOGITS
     desired
    1.53
     needed
    1.12
     desire
    1.05
    needed
    1.03
     necessary
    1.02
     wished
    0.99
     desires
    0.98
     pleased
    0.96
     deemed
    0.95
     imaginable
    0.91
    Activations Density 0.580%

    No Known Activations