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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
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    INDEX
    Explanations

    locations or landmarks with the word "Gardens" in their name

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific gardens, particularly notable or significant ones

    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
     mic
    -0.82
    ep
    -0.71
     standard
    -0.71
     nominal
    -0.66
     contract
    -0.66
     reaction
    -0.66
    JP
    -0.65
     template
    -0.65
     reflex
    -0.65
    cy
    -0.64
    POSITIVE LOGITS
     Gardens
    4.07
     gardens
    1.91
     Garden
    1.35
     Farms
    1.25
     Trees
    1.16
     Flowers
    1.16
     Lakes
    1.13
     Cemetery
    1.11
     Towers
    1.10
     Heights
    1.08
    Activations Density 0.024%

    No Known Activations