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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. 5836
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    Explanations

    verbs ending in 'ed' indicating a completed action

    oai_token-act-pair · gpt-3.5-turbo

    verbs ending in 'ing' or 'ed'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Scand
    -0.67
     Tomb
    -0.55
     Container
    -0.55
     QC
    -0.54
     Niet
    -0.54
     Kle
    -0.53
     Crus
    -0.53
     Colo
    -0.53
    inav
    -0.52
    Pa
    -0.52
    POSITIVE LOGITS
     havoc
    0.96
     away
    0.79
    ishly
    0.77
    enary
    0.75
    ieri
    0.75
    eer
    0.73
    vironment
    0.73
    igger
    0.72
    xual
    0.71
    kered
    0.70
    Activations Density 0.221%

    No Known Activations