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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    the word "wishes" repeated with various contexts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intentions

    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
    olate
    -0.67
    pen
    -0.66
    Analy
    -0.64
    ulp
    -0.61
     graph
    -0.60
    ometric
    -0.60
     contrast
    -0.60
    agg
    -0.59
    adj
    -0.59
    allo
    -0.58
    POSITIVE LOGITS
     wishes
    3.93
     wish
    2.22
     wished
    2.09
     desires
    1.99
     wishing
    1.63
     wills
    1.55
     wants
    1.51
     regrets
    1.41
     intentions
    1.35
     hopes
    1.31
    Activations Density 0.009%

    No Known Activations