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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. 1-RES-JB
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    Explanations

    the word "observe" in various contexts and forms

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "observe" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rax
    -0.80
    fo
    -0.70
    fat
    -0.69
    gur
    -0.68
    ikuman
    -0.68
    enic
    -0.67
    uilt
    -0.64
    ammy
    -0.64
    utm
    -0.64
    eways
    -0.64
    POSITIVE LOGITS
     observe
    1.07
     observing
    1.05
     observation
    0.97
     Observ
    0.94
     observ
    0.91
     observes
    0.84
     observed
    0.80
     observer
    0.79
     observations
    0.76
     observers
    0.72
    Activations Density 0.009%

    No Known Activations