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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. 10-RES-JB
    11. 6250
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    INDEX
    Explanations

    words relating to dust, settling, and air phenomena

    oai_token-act-pair · gpt-3.5-turbo

    instances and references related to "dust."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istic
    -0.77
     Barbar
    -0.77
    awaru
    -0.72
    rylic
    -0.66
    ilitary
    -0.64
    NEY
    -0.63
    cffffcc
    -0.61
     Syri
    -0.60
    zee
    -0.60
     externalToEVAOnly
    -0.59
    POSITIVE LOGITS
    bowl
    1.29
    bin
    1.07
     storms
    0.98
     grains
    0.95
     Bowl
    0.95
     particles
    0.95
     jacket
    0.95
    bag
    0.94
    cloud
    0.94
    storms
    0.93
    Activations Density 0.030%

    No Known Activations