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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. 7-RES-JB
    11. 5106
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    Explanations

    phrases starting with "That" and "the", indicating a preference for specific contexts or conditions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "that" emphasizing statements or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciples
    -0.76
    ATURES
    -0.72
    atur
    -0.71
    arson
    -0.68
    ãĥ©ãĥ³
    -0.67
    IDES
    -0.66
    WARD
    -0.65
    ãĤ¹ãĥĪ
    -0.65
    feet
    -0.64
    ãĤ»
    -0.64
    POSITIVE LOGITS
     sounds
    0.86
    cher
    0.85
     reminds
    0.83
     guy
    0.81
     ain
    0.81
     mattered
    0.80
     undermines
    0.80
     sounded
    0.80
     doesnt
    0.80
     doesn
    0.80
    Activations Density 0.146%

    No Known Activations