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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. 7-RES-JB
    11. 2637
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    Explanations

    the names of theaters and hotels

    oai_token-act-pair · gpt-3.5-turbo

    venues related to performances and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     strokes
    -0.76
    alysed
    -0.70
     iod
    -0.68
    cially
    -0.68
    assed
    -0.67
     tide
    -0.66
    yan
    -0.65
    etheless
    -0.64
     regulators
    -0.64
     inoc
    -0.63
    POSITIVE LOGITS
     Hotel
    1.18
     District
    1.11
     Plaza
    1.08
     Room
    1.05
     Parkway
    1.04
     Suite
    1.03
     Orchestra
    1.01
     Collection
    1.01
     Company
    0.99
     Complex
    0.98
    Activations Density 0.111%

    No Known Activations