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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. 0-RES-JB
    11. 12853
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    Explanations

    references to legal clients

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific client, indicating a focus on client-centered information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģ«
    -0.65
     marches
    -0.64
     Haram
    -0.63
     Slay
    -0.63
    ouls
    -0.61
    ots
    -0.61
     Yesterday
    -0.61
    rab
    -0.61
    ŃĶ
    -0.60
    scoring
    -0.60
    POSITIVE LOGITS
     client
    3.86
     clients
    3.01
    client
    2.67
     Client
    2.66
    Client
    2.15
     CLIENT
    1.72
     customer
    1.53
     server
    1.43
     patient
    1.24
     broker
    1.21
    Activations Density 0.022%

    No Known Activations