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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. 10-RES-JB
    11. 3076
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    Explanations

    locations or directions mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     therein
    -0.70
    .–
    -0.68
    gey
    -0.67
     Explain
    -0.67
    $$
    -0.62
    osi
    -0.62
     shareholders
    -0.61
     contributors
    -0.61
    ynes
    -0.61
    ï¸ı
    -0.60
    POSITIVE LOGITS
     search
    1.19
     dro
    1.09
     handcuffs
    1.07
     pursuit
    1.06
     haste
    1.03
     disguise
    0.94
     procession
    0.92
     stride
    0.87
     heels
    0.87
     tow
    0.87
    Activations Density 0.201%

    No Known Activations