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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. 5801
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    Explanations

    phrases related to challenges or opportunities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to opportunity, challenges, and necessities within various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    TN
    -0.66
    poon
    -0.66
    DERR
    -0.65
    Interstitial
    -0.60
     paran
    -0.59
    essage
    -0.58
    Footnote
    -0.57
    zbek
    -0.57
     contempor
    -0.57
     Deliver
    -0.56
    POSITIVE LOGITS
     arises
    1.22
     goes
    1.19
     is
    1.14
     isn
    1.12
     resides
    1.11
     becomes
    1.11
     disappears
    1.10
     belongs
    1.08
     hasn
    1.07
     comes
    1.06
    Activations Density 0.350%

    No Known Activations