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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. 5-RES-JB
    6. 6087
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    Explanations

    words related to loyal enthusiasts or users of a particular product, service, or entertainment

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific groups of fans or users associated with various topics or communities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SER
    -0.69
    utherford
    -0.67
    POSE
    -0.66
    æ©
    -0.65
    Sher
    -0.65
    FLAG
    -0.64
    Reloaded
    -0.63
    Prosecut
    -0.63
    Score
    -0.61
    Fax
    -0.61
    POSITIVE LOGITS
     rejoice
    1.02
    paces
    0.94
    hip
    0.92
    hops
    0.89
    hips
    0.82
     beware
    0.81
     who
    0.78
    wana
    0.78
    iuses
    0.75
    chool
    0.74
    Activations Density 0.193%

    No Known Activations