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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. 2-RES-JB
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    Explanations

    locations or structures related to storage or shelter, specifically buildings like barns or hangars

    oai_token-act-pair · gpt-3.5-turbo

    references to barns and related structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISM
    -0.74
    ADRA
    -0.71
    OPLE
    -0.66
    uyomi
    -0.65
    mson
    -0.64
     Valent
    -0.63
    THER
    -0.61
    conom
    -0.60
    Crime
    -0.60
     griev
    -0.59
    POSITIVE LOGITS
    acles
    1.13
     barn
    1.09
    acle
    1.06
    yard
    0.96
    ardless
    0.89
    roller
    0.79
    storm
    0.78
     doors
    0.77
    sburgh
    0.76
    wright
    0.75
    Activations Density 0.011%

    No Known Activations