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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. 17705
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    Explanations

    words related to financial terms and transactions

    oai_token-act-pair · gpt-3.5-turbo

    negative prefixes related to disruption or interference

    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
     Mara
    -0.63
     McKin
    -0.61
    人
    -0.61
     Lowell
    -0.58
     Webster
    -0.58
     Soldier
    -0.57
     pa
    -0.56
     Superior
    -0.56
     Hitman
    -0.56
     sidel
    -0.55
    POSITIVE LOGITS
    bles
    1.01
    cled
    1.00
    pled
    0.97
    ples
    0.95
    bling
    0.91
    bing
    0.89
    rers
    0.89
    bled
    0.86
    uted
    0.86
    cles
    0.83
    Activations Density 0.090%

    No Known Activations