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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. 1523
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    Explanations

    phrases related to the Securities and Exchange Commission (SEC)

    oai_token-act-pair · gpt-3.5-turbo

    references to the Securities and Exchange Commission (SEC)

    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
    itarian
    -0.92
     Shiv
    -0.70
    ciation
    -0.70
    liness
    -0.68
    gaard
    -0.68
    î
    -0.66
    fully
    -0.65
    bars
    -0.63
    kson
    -0.63
    cs
    -0.62
    POSITIVE LOGITS
    OND
    1.40
    RET
    1.37
    urities
    1.05
    UR
    0.98
    DEF
    0.92
    URE
    0.91
    STATE
    0.91
    ratulations
    0.88
    emetery
    0.85
    reme
    0.81
    Activations Density 0.028%

    No Known Activations