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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    proper nouns related to cities

    oai_token-act-pair · gpt-3.5-turbo

    references to urban environments or cities, particularly those with the suffix 'opolis'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anal
    -0.67
     sharing
    -0.65
     labels
    -0.64
     registered
    -0.60
     card
    -0.60
     steering
    -0.60
     garn
    -0.59
     receipt
    -0.59
     debit
    -0.59
     cou
    -0.58
    POSITIVE LOGITS
    ropolis
    4.70
    opolis
    1.64
    ropolitan
    1.43
    rop
    1.39
    romancer
    1.28
    amorph
    1.27
    olitan
    1.26
    rium
    1.21
    opia
    1.17
    roman
    1.05
    Activations Density 0.019%

    No Known Activations