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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. 7515
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    Explanations

    verbs related to perceiving or observing something happening

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "seeing" and related forms that indicate observation or perception

    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
    ovie
    -0.73
    ÃŃa
    -0.71
    anium
    -0.70
    eware
    -0.70
    orth
    -0.70
    ranged
    -0.70
    onto
    -0.68
    toe
    -0.67
    agan
    -0.66
    clud
    -0.65
    POSITIVE LOGITS
     firsthand
    1.24
     examples
    1.01
     plenty
    0.92
     lots
    0.91
     signs
    0.90
     glimps
    0.87
     how
    0.84
     ourselves
    0.83
     similarities
    0.83
     parallels
    0.83
    Activations Density 0.076%

    No Known Activations