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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. 6-RES-JB
    11. 1708
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    Explanations

    long complex words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    quantitative assessments of social or economic conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maps
    -0.82
    Camera
    -0.78
    Ä
    -0.76
    CD
    -0.76
    AG
    -0.75
     Documents
    -0.74
    Call
    -0.73
    Ag
    -0.72
    Gab
    -0.72
    Jar
    -0.71
    POSITIVE LOGITS
     supra
    0.82
    anwhile
    0.80
     overpowered
    0.75
     undecided
    0.73
     extinct
    0.72
     intrusive
    0.71
     unrem
    0.71
     upt
    0.71
     forbidden
    0.70
     optional
    0.70
    Activations Density 0.440%

    No Known Activations