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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. 10273
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    Explanations

    locations, particularly shopping malls

    oai_token-act-pair · gpt-3.5-turbo

    references to various shopping malls

    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
    dit
    -0.77
    lies
    -0.62
     Daisy
    -0.62
    itably
    -0.60
    DIT
    -0.59
    SHIP
    -0.58
     Corm
    -0.58
     hottest
    -0.57
    nel
    -0.56
     Reign
    -0.56
    POSITIVE LOGITS
    esi
    1.00
    itect
    1.00
    opping
    0.98
    adium
    0.98
    ificent
    0.96
    oppers
    0.93
    ocks
    0.93
    imar
    0.93
    rats
    0.91
    enium
    0.90
    Activations Density 0.030%

    No Known Activations