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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. 0-RES-JB
    11. 503
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    Explanations

    words related to a specific location, Sonoma

    oai_token-act-pair · gpt-3.5-turbo

    references to "Oma" and related terms, indicating a focus on specific geographical locations or entities named "Oma."

    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
     crowds
    -0.65
     Gry
    -0.62
     clock
    -0.61
    ritten
    -0.60
     DHCP
    -0.59
     repe
    -0.59
     lobb
    -0.59
     Clintons
    -0.59
     static
    -0.58
     dra
    -0.58
    POSITIVE LOGITS
    oma
    4.48
    omas
    3.04
    om
    1.41
    ome
    1.38
    omes
    1.30
    omatic
    1.29
    omi
    1.28
    omy
    1.25
    ocy
    1.24
    osa
    1.21
    Activations Density 0.016%

    No Known Activations