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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. 8281
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    Explanations

    words related to important or impactful terms or events

    oai_token-act-pair · gpt-3.5-turbo

    names and entities, particularly focusing on characters or individuals

    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
    ¶ħ
    -0.69
    cffff
    -0.61
    berra
    -0.61
    taboola
    -0.60
     ..."
    -0.60
      
    -0.59
    ''.
    -0.55
     EDIT
    -0.53
     REL
    -0.53
     interchange
    -0.53
    POSITIVE LOGITS
    enges
    0.63
     Franch
    0.62
     sails
    0.62
    tsy
    0.61
    culosis
    0.60
    stood
    0.60
    doors
    0.60
    's
    0.59
    ians
    0.57
    hyde
    0.57
    Activations Density 0.372%

    No Known Activations