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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. 7-RES-JB
    6. 13267
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    Explanations

    situations where someone is being acknowledged or credited for something they have done

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express validation or acknowledgment of credit

    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
    roleum
    -0.72
    itive
    -0.69
    uit
    -0.68
    arching
    -0.67
    rieving
    -0.63
    ilege
    -0.61
    ente
    -0.60
    vir
    -0.59
    rete
    -0.59
    brance
    -0.59
    POSITIVE LOGITS
     whatsoever
    0.71
     approximation
    0.70
    ij士
    0.69
     backups
    0.66
    Db
    0.64
    nw
    0.63
     accredited
    0.58
     aver
    0.57
     anyway
    0.57
    ascal
    0.56
    Activations Density 0.118%

    No Known Activations