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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 23069
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    INDEX
    Explanations

    the phrases related to listening and responding to someone's thoughts or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of communication and requests for attention or feedback

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ucket
    -0.83
    entin
    -0.78
    \/\/
    -0.75
    iant
    -0.75
    ccording
    -0.71
    thumbnails
    -0.71
    abase
    -0.68
    teness
    -0.67
    igsaw
    -0.66
    ritional
    -0.66
    POSITIVE LOGITS
     voices
    1.17
     loud
    1.14
     roar
    1.12
     firsthand
    1.05
     voice
    1.03
     noises
    1.00
     cries
    0.99
     footsteps
    0.96
     screams
    0.94
     whispers
    0.94
    Activations Density 0.110%

    No Known Activations