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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. 19023
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    Explanations

    phrases related to listening and hearing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "hear me out" and related expressions recognizing communication or requests for attention

    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
    ritional
    -0.76
    iant
    -0.73
    ucket
    -0.69
    abase
    -0.69
    igsaw
    -0.68
    \/\/
    -0.68
    isoft
    -0.68
    irgin
    -0.68
    ccording
    -0.67
    iens
    -0.67
    POSITIVE LOGITS
     loud
    1.03
     voices
    1.03
     footsteps
    0.97
     roar
    0.96
     noises
    0.95
     louder
    0.94
     firsthand
    0.94
     voice
    0.91
     podcasts
    0.87
     aloud
    0.87
    Activations Density 0.118%

    No Known Activations