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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. 11-RES-JB
    11. 14330
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    Explanations

    phrases related to different topics such as risk, education, health, and culture

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" followed by strong qualitative descriptors or phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.72
    osponsors
    -0.69
    redits
    -0.68
    enery
    -0.67
    donald
    -0.65
    uin
    -0.65
    ifts
    -0.65
    ULTS
    -0.63
     Exhibition
    -0.62
    iew
    -0.60
    POSITIVE LOGITS
     tricky
    1.08
     prerequisite
    1.03
     cornerstone
    0.97
     notoriously
    0.95
     necessity
    0.95
     hallmark
    0.94
     delicate
    0.92
     breeze
    0.90
     crucial
    0.89
     staple
    0.88
    Activations Density 0.140%

    No Known Activations