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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. 1-RES-JB
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    Explanations

    mentions of different organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Quant
    -0.72
     Greens
    -0.67
    Lew
    -0.66
    Latest
    -0.66
    Tro
    -0.66
    Charge
    -0.66
     Highway
    -0.65
    berry
    -0.65
    Shock
    -0.64
    gets
    -0.64
    POSITIVE LOGITS
     organizations
    1.22
    chwitz
    1.02
     organisations
    1.01
     affili
    0.94
    imore
    0.93
     organization
    0.92
     bom
    0.89
     enterprises
    0.85
    rity
    0.84
     sponsoring
    0.83
    Activations Density 0.013%

    No Known Activations