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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. 8-RES-JB
    11. 320
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    specific names and references to individuals or entities within a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ights
    -0.87
    akra
    -0.85
    opath
    -0.85
    atile
    -0.82
    ions
    -0.80
    itri
    -0.79
    ider
    -0.79
    uster
    -0.77
    urned
    -0.76
    iders
    -0.76
    POSITIVE LOGITS
    eering
    0.98
    EStream
    0.84
    ³³³³³³³³³³³³³³³³
    0.78
    eers
    0.75
    BIL
    0.68
     Rein
    0.68
    eting
    0.67
     Eag
    0.65
    ansas
    0.65
    llor
    0.64
    Activations Density 0.100%

    No Known Activations