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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. 11-RES-JB
    11. 12960
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    Explanations

    terms related to urban environments or urban studies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban studies and city planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kick
    -0.69
    terday
    -0.69
    gans
    -0.68
    xon
    -0.67
    cius
    -0.67
    orious
    -0.66
    chers
    -0.66
    etsk
    -0.65
     Scully
    -0.65
     Called
    -0.62
    POSITIVE LOGITS
    ization
    1.20
    icity
    1.16
     renewal
    1.09
     legends
    1.06
    ized
    1.04
    ites
    1.03
    isation
    1.00
    izations
    0.99
    izing
    0.98
     dwell
    0.96
    Activations Density 0.040%

    No Known Activations