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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. 6-RES-JB
    11. 23760
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    Explanations

    words related to names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of people

    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
     SQU
    -0.50
    Ball
    -0.49
    ãĤ´ãĥ³
    -0.48
     recru
    -0.48
     acron
    -0.47
     Symb
    -0.47
    ãĥĩãĤ£
    -0.47
     blankets
    -0.46
    Squ
    -0.46
     cybersecurity
    -0.46
    POSITIVE LOGITS
    eport
    0.59
    foundland
    0.59
    uve
    0.59
    oven
    0.56
    endif
    0.55
    yang
    0.55
    leans
    0.54
    orius
    0.54
    */
    0.53
     rul
    0.52
    Activations Density 1.649%

    No Known Activations