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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. 4-RES-JB
    11. 12128
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    INDEX
    Explanations

    specific targets or goals mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to a "target" concept or entity

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

    No Comments

    Negative Logits
    IGH
    -0.71
    aut
    -0.67
    fo
    -0.66
    lycer
    -0.64
    GGGG
    -0.64
    ISTORY
    -0.64
     Geological
    -0.64
    aug
    -0.63
    SourceFile
    -0.62
    agate
    -0.61
    POSITIVE LOGITS
    ted
    1.16
     targets
    0.91
     target
    0.86
    izen
    0.79
    ishes
    0.76
    ting
    0.76
    topic
    0.76
    adesh
    0.74
    oided
    0.74
     range
    0.72
    Activations Density 0.020%

    No Known Activations