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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19716
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    Explanations

    references to various types of lords, such as fictional or historical figures, and possibly titles or positions related to lordship

    oai_token-act-pair · gpt-3.5-turbo

    references to 'lords' in various contexts, particularly in connection to authority or power dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.79
    asketball
    -0.79
    obo
    -0.76
    EV
    -0.73
    OPLE
    -0.73
    issance
    -0.73
     scratch
    -0.70
    AST
    -0.70
     AAP
    -0.69
    NetMessage
    -0.69
    POSITIVE LOGITS
    hips
    1.16
    lord
    1.15
    lords
    1.09
    iazep
    1.02
     lords
    0.93
    ess
    0.86
     lord
    0.83
    masters
    0.81
    hip
    0.81
    nesses
    0.79
    Activations Density 0.014%

    No Known Activations