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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. 3-RES-JB
    11. 4392
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    Explanations

    specific references to forests

    oai_token-act-pair · gpt-3.5-turbo

    mentions of forests

    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
    OPLE
    -0.73
    Companies
    -0.69
    Pitt
    -0.68
    Reason
    -0.68
    Technical
    -0.66
    Universal
    -0.65
    Extra
    -0.65
    Arcade
    -0.65
    Wilson
    -0.65
    soever
    -0.64
    POSITIVE LOGITS
    forest
    1.08
     forest
    0.96
     canopy
    0.91
     forests
    0.89
    lands
    0.85
    orde
    0.84
    lake
    0.82
     woodland
    0.82
    ãĤ¼ãĤ¦ãĤ¹
    0.79
     Forest
    0.78
    Activations Density 0.010%

    No Known Activations