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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. 5936
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    INDEX
    Explanations

    positive or negative evaluations regarding certain actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions or beliefs

    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
    ãĥīãĥ©
    -0.73
    è¦ļéĨĴ
    -0.72
    iann
    -0.69
    ãĤº
    -0.66
    EE
    -0.66
    annon
    -0.65
     unavailable
    -0.65
    éŃĶ
    -0.65
    alid
    -0.64
    éĹĺ
    -0.64
    POSITIVE LOGITS
     underrated
    0.99
     deserved
    0.93
     ought
    0.84
     fair
    0.83
     faire
    0.83
     underestimate
    0.82
     underest
    0.81
     beh
    0.79
     deserve
    0.78
     unfairly
    0.78
    Activations Density 0.326%

    No Known Activations