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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. 1-RES-JB
    11. 809
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    INDEX
    Explanations

    adjectives or phrases indicating a negative or critical observation

    oai_token-act-pair · gpt-3.5-turbo

    strong negative descriptors indicating serious issues or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rera
    -0.76
    rolog
    -0.75
    ather
    -0.71
    ulton
    -0.70
    agers
    -0.70
    ession
    -0.69
    pour
    -0.68
    essions
    -0.67
    prep
    -0.66
    uton
    -0.66
    POSITIVE LOGITS
     glaring
    1.04
     gaping
    1.04
     inconsistency
    0.88
     disparities
    0.87
     holes
    0.82
     gaps
    0.78
     inconsistencies
    0.78
     disson
    0.78
     loopholes
    0.76
     hypocrisy
    0.76
    Activations Density 0.010%

    No Known Activations