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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. 11-RES-JB
    11. 4151
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    Explanations

    financial and quantitative terms

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to monetary values and contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bda
    -0.76
    çīĪ
    -0.75
    cffffcc
    -0.72
     Cosponsors
    -0.69
    luaj
    -0.68
    NetMessage
    -0.68
     ãĤµ
    -0.67
    terday
    -0.66
     conclud
    -0.66
     Reloaded
    -0.65
    POSITIVE LOGITS
     available
    1.12
     required
    1.07
     allowable
    1.04
     someone
    1.00
     needed
    1.00
     afforded
    0.99
     anyone
    0.96
     achievable
    0.96
     allowed
    0.96
     consumers
    0.96
    Activations Density 0.392%

    No Known Activations