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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. 9-RES-JB
    11. 22839
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    Explanations

    phrases related to sequencing or prioritizing steps or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sequential steps or the order of processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jong
    -0.73
    erved
    -0.71
    dain
    -0.71
    umers
    -0.67
    rx
    -0.64
    bia
    -0.64
    Keefe
    -0.63
    mbuds
    -0.63
    âĸĵ
    -0.62
    agine
    -0.61
    POSITIVE LOGITS
     thing
    1.31
     caveat
    1.16
     step
    1.14
     hurdle
    1.09
     paragraph
    1.04
     factor
    1.03
     aspect
    1.02
     question
    0.98
     element
    0.98
     clue
    0.97
    Activations Density 0.094%

    No Known Activations