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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. 2-RES-JB
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    Explanations

    references to the word "Roll" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Roll" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥŁ
    -0.85
    ãĥ¤
    -0.84
     BaseType
    -0.80
    ilar
    -0.77
    AMI
    -0.74
    itars
    -0.70
    ãĥ¼ãĥĨ
    -0.70
    ilities
    -0.69
    ãĤ»
    -0.69
    é¾įå
    -0.69
    POSITIVE LOGITS
     roll
    1.03
    Roll
    0.94
     rolls
    0.94
    roll
    0.93
     rolled
    0.91
     rolling
    0.88
     Rolls
    0.86
     Roll
    0.84
    back
    0.82
    outs
    0.80
    Activations Density 0.008%

    No Known Activations