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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. 3-RES-JB
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    Explanations

    specific words related to education settings and institutions such as 'lecturing' and 'Buckingham'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of formal teaching or lectures, particularly involving the word "lect."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oshenko
    -0.74
     Odyssey
    -0.66
    prus
    -0.65
     curfew
    -0.63
    plex
    -0.63
     Macedonia
    -0.63
     strand
    -0.62
    izons
    -0.62
    riages
    -0.62
     Volks
    -0.61
    POSITIVE LOGITS
    erent
    1.28
    erer
    1.18
    erers
    1.13
    urers
    1.02
    ern
    0.98
    eren
    0.96
    ured
    0.93
    scl
    0.89
    uring
    0.88
    eree
    0.87
    Activations Density 0.033%

    No Known Activations