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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. 9-RES-JB
    11. 4608
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    Explanations

    references to nature, specifically related to bushes or forests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nature and environment, particularly focusing on forests and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rors
    -0.82
    ation
    -0.80
    urrent
    -0.79
    oded
    -0.79
    sen
    -0.75
    oin
    -0.73
    obal
    -0.71
    oding
    -0.69
    icates
    -0.69
    ible
    -0.68
    POSITIVE LOGITS
    ãĥ£
    0.83
    vernment
    0.74
    cules
    0.72
    ãĥ
    0.71
    女
    0.68
    PLE
    0.65
    facts
    0.64
     bom
    0.63
    onga
    0.62
    ãĤ§
    0.62
    Activations Density 0.216%

    No Known Activations