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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. 9-RES-JB
    11. 8969
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    Explanations

    words related to financial transactions or market activities

    oai_token-act-pair · gpt-3.5-turbo

    financial transactions and actions related to buying or selling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.65
     Aven
    -0.60
     Purs
    -0.60
     diplom
    -0.59
     Sapp
    -0.59
     Project
    -0.57
     Kamp
    -0.57
     Dram
    -0.57
     Sind
    -0.56
     HERO
    -0.55
    POSITIVE LOGITS
    ables
    1.39
    ings
    1.36
    able
    1.34
    outs
    1.32
    aways
    1.25
    away
    1.21
    ability
    1.15
    downs
    1.12
    ers
    1.08
    out
    1.06
    Activations Density 0.421%

    No Known Activations