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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. 9085
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    Explanations

    phrases related to particles like dust

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "dust" and its various contexts

    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
    istic
    -0.85
     Barbar
    -0.78
    ilitary
    -0.70
    rylic
    -0.65
    ommod
    -0.63
    otional
    -0.61
    izations
    -0.61
    coming
    -0.60
    avanaugh
    -0.59
    liament
    -0.59
    POSITIVE LOGITS
    bowl
    1.21
     grains
    0.97
    bin
    0.95
     storms
    0.90
     Bowl
    0.88
     devils
    0.87
    ing
    0.87
     particles
    0.85
     jacket
    0.84
    bags
    0.83
    Activations Density 0.038%

    No Known Activations