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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. 8937
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    Explanations

    phrases related to comparison or contrast

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain conjunctions or lists indicating connections between ideas

    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
    ¬¼
    -0.67
    ãĤ¦ãĤ¹
    -0.66
     nutshell
    -0.65
    ocese
    -0.62
    REDACTED
    -0.60
    Ö
    -0.60
    ernaut
    -0.59
    ãĥ¯ãĥ³
    -0.59
    animous
    -0.59
    spection
    -0.59
    POSITIVE LOGITS
     whereas
    1.42
     preferring
    1.23
    often
    1.09
     thereby
    1.03
     often
    1.01
     irrespective
    0.96
     regardless
    0.95
     respectively
    0.95
     usually
    0.95
     although
    0.95
    Activations Density 0.405%

    No Known Activations