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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. 4411
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "on"

    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
    æĸ¹
    -0.68
    ometimes
    -0.67
     Quadro
    -0.67
    eah
    -0.66
     warr
    -0.63
     Seym
    -0.62
    RESULTS
    -0.62
     recomp
    -0.62
     corrid
    -0.61
    à¨
    -0.61
    POSITIVE LOGITS
    etheless
    1.16
    nen
    1.13
    auts
    1.06
    ews
    1.00
    osuke
    0.99
    coming
    0.96
    nect
    0.95
    structed
    0.95
    autical
    0.93
    itored
    0.93
    Activations Density 0.052%

    No Known Activations