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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 9287
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    Explanations

    instances of the word "observed" in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances or mentions of the word "observed" 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
    gur
    -0.81
    venge
    -0.80
    onz
    -0.78
    por
    -0.76
    nec
    -0.73
    ergy
    -0.72
    recy
    -0.71
    email
    -0.68
    rax
    -0.68
    neg
    -0.67
    POSITIVE LOGITS
     observed
    1.03
     observation
    0.87
    ĸļ
    0.84
     observing
    0.82
     observations
    0.82
     observable
    0.78
     observe
    0.77
     Observ
    0.76
     patterns
    0.74
     observes
    0.73
    Activations Density 0.008%

    No Known Activations