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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. 6-RES-JB
    6. 21554
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    INDEX
    Explanations

    various sounds and noises in different scenarios

    oai_token-act-pair · gpt-3.5-turbo

    instances of loud or disturbing sounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    folios
    -0.93
    ardless
    -0.88
    folio
    -0.84
    utton
    -0.77
    ilitarian
    -0.69
     commons
    -0.68
    ilege
    -0.67
    clus
    -0.67
    ahime
    -0.66
    ETF
    -0.65
    POSITIVE LOGITS
     noises
    1.22
     gunshots
    1.12
     footsteps
    1.11
     louder
    1.10
     audible
    1.09
     whist
    1.05
     echoing
    1.04
     emanating
    1.03
     chants
    1.01
     reverber
    1.00
    Activations Density 0.238%

    No Known Activations