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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. 10-RES-JB
    11. 23388
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    oai_token-act-pair · gpt-3.5-turbo

    numerical and coded data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     newsp
    -0.74
     ultras
    -0.73
     tradem
    -0.69
     interf
    -0.68
     NRA
    -0.68
     advance
    -0.66
    ÃŃs
    -0.64
     circ
    -0.64
     plac
    -0.63
     arming
    -0.62
    POSITIVE LOGITS
    79
    1.49
    806
    1.46
    808
    1.46
    886
    1.46
    646
    1.46
    88
    1.45
    708
    1.44
    802
    1.44
    785
    1.44
    755
    1.43
    Activations Density 0.051%

    No Known Activations