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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. 15649
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    Explanations

    references to natural phenomena related to clouds

    oai_token-act-pair · gpt-3.5-turbo

    references to clouds, particularly in the context of environmental effects

    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
    Ô
    -0.90
    MIT
    -0.78
    IGN
    -0.76
    éĸ
    -0.72
    thodox
    -0.71
    =-=-=-=-
    -0.67
    ========
    -0.67
    sembly
    -0.66
    OPER
    -0.66
    ============
    -0.66
    POSITIVE LOGITS
    burst
    1.20
     clouds
    1.08
    bows
    0.99
     cloud
    0.98
    berries
    0.84
    iness
    0.83
     Clouds
    0.82
    storms
    0.79
    forest
    0.79
     drifting
    0.78
    Activations Density 0.008%

    No Known Activations