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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. 6-RES-JB
    11. 14918
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    Explanations

    words related to high altitudes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to altitude and elevation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JECT
    -0.99
    gotten
    -0.89
    advertising
    -0.86
    scene
    -0.85
    stal
    -0.84
    roma
    -0.82
    roads
    -0.82
    icles
    -0.82
    tern
    -0.80
    Accessory
    -0.78
    POSITIVE LOGITS
     extremes
    1.14
     altitude
    0.92
     gradient
    0.87
     sickness
    0.87
     bands
    0.81
     Seym
    0.80
     tolerant
    0.80
     ranges
    0.76
     elevation
    0.76
     humidity
    0.75
    Activations Density 0.045%

    No Known Activations