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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. 3750
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    Explanations

    words related to moisture, wetness, and dampness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to moisture or dampness

    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
     VIDEOS
    -0.89
    ioch
    -0.75
    OF
    -0.70
     Pipeline
    -0.69
    opsy
    -0.68
    ICO
    -0.65
    HOME
    -0.64
    ICAL
    -0.63
     Prosecut
    -0.63
    aurus
    -0.62
    POSITIVE LOGITS
    ened
    1.18
    ening
    1.05
     damp
    0.99
    ener
    0.99
    eners
    0.97
    ness
    0.93
    est
    0.89
    ding
    0.86
    ega
    0.82
    ington
    0.80
    Activations Density 0.009%

    No Known Activations