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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. 7-RES-JB
    11. 19310
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    Explanations

    references to the present moment or current state of affairs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the current moment or situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    icter
    -0.71
     secondly
    -0.68
     swoop
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    eal
    -0.62
     Packs
    -0.61
    minist
    -0.60
     ingred
    -0.59
    amins
    -0.59
    ipes
    -0.59
    alin
    -0.57
    POSITIVE LOGITS
     shack
    0.65
    REC
    0.64
    hop
    0.63
     vest
    0.61
    here
    0.61
     only
    0.60
    haven
    0.60
     wip
    0.60
     GHC
    0.59
    ÃįÃį
    0.58
    Activations Density 0.204%

    No Known Activations