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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. 3950
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    Explanations

    locations or addresses, particularly focusing on street names

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and street names within the document

    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
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.76
    ilib
    -0.76
     enrich
    -0.71
     regimes
    -0.71
     bribes
    -0.71
    ocrats
    -0.71
     reperto
    -0.70
    atis
    -0.70
     bats
    -0.69
     manoeuv
    -0.67
    POSITIVE LOGITS
     Side
    1.14
     Campus
    1.07
     Boulevard
    1.03
     Fork
    1.00
    lake
    0.98
    Side
    0.97
     Avenue
    0.96
     Broadway
    0.95
    bound
    0.93
     Corner
    0.92
    Activations Density 0.063%

    No Known Activations