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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. 6-RES-JB
    11. 22021
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leans
    -0.75
    nton
    -0.73
    productive
    -0.73
    othe
    -0.72
    psy
    -0.70
    oci
    -0.68
    ulous
    -0.68
    enter
    -0.66
    currency
    -0.66
    mens
    -0.66
    POSITIVE LOGITS
     concurrently
    0.84
    interstitial
    0.82
     alongside
    0.79
     worldwide
    0.78
     separately
    0.75
     globally
    0.72
     simultane
    0.72
     prominently
    0.71
     simultaneously
    0.71
     withd
    0.70
    Activations Density 0.149%

    No Known Activations