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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. 9-RES-JB
    11. 17327
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    Explanations

    places or locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" and its occurrences within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICO
    -0.68
    casters
    -0.65
     incumb
    -0.64
    dies
    -0.64
     certs
    -0.64
     %%
    -0.64
    ":["
    -0.63
    Choice
    -0.61
    emis
    -0.60
     taught
    -0.60
    POSITIVE LOGITS
     lieu
    1.16
    patient
    1.02
     Cannes
    1.01
     Buenos
    1.00
     handcuffs
    0.98
     Zurich
    0.97
     front
    0.96
     Prague
    0.96
     Riyadh
    0.94
     Havana
    0.94
    Activations Density 0.358%

    No Known Activations