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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. 18291
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    Explanations

    time expressions written in numerical format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and numerical values

    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
     parach
    -0.65
     paranormal
    -0.60
     mixer
    -0.59
     interf
    -0.58
     omn
    -0.58
     iceberg
    -0.58
     insurrection
    -0.57
     imperson
    -0.55
     antidote
    -0.55
     investigative
    -0.54
    POSITIVE LOGITS
    06
    1.51
    08
    1.51
    05
    1.50
    09
    1.47
    07
    1.43
    00
    1.42
    04
    1.42
    02
    1.41
    03
    1.38
    95
    1.37
    Activations Density 0.090%

    No Known Activations