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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. 7-RES-JB
    11. 9647
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anyway
    -0.70
     Appears
    -0.67
    than
    -0.66
     lest
    -0.65
     anyways
    -0.59
     beforehand
    -0.59
    76561
    -0.59
    Anyway
    -0.58
    weak
    -0.58
    Arg
    -0.58
    POSITIVE LOGITS
    ersive
    0.83
     grassroots
    0.81
     volunte
    0.78
     educating
    0.76
     innovative
    0.75
     curated
    0.74
     collaborative
    0.72
     visionary
    0.70
     educational
    0.70
     pioneering
    0.67
    Activations Density 0.491%

    No Known Activations