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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. 9163
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    oai_token-act-pair · gpt-3.5-turbo
    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
     Hed
    -0.69
     Kers
    -0.62
     congr
    -0.62
     Blaz
    -0.60
     polled
    -0.60
     sandwic
    -0.59
     Skydragon
    -0.59
     judgement
    -0.57
     Peaks
    -0.57
     mob
    -0.56
    POSITIVE LOGITS
    than
    0.90
    href
    0.79
     Videos
    0.72
    ptive
    0.67
     sqor
    0.66
    likely
    0.64
    efficient
    0.63
    govtrack
    0.62
    uries
    0.62
     ENTER
    0.62
    Activations Density 0.078%

    No Known Activations