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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21426
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    Explanations

    phrases related to reaching an outcome or a specific result

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of limitations or availability

    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
    rawdownloadcloneembedreportprint
    -0.65
    yi
    -0.60
    sbm
    -0.56
     Bite
    -0.56
    wra
    -0.56
     Surviv
    -0.55
     perf
    -0.55
    tery
    -0.54
     @@
    -0.54
    atech
    -0.54
    POSITIVE LOGITS
     extent
    1.53
    venge
    1.38
     detriment
    1.16
    rouse
    1.09
    livion
    1.02
     lengths
    1.00
     tune
    0.97
     destinations
    0.95
     degree
    0.92
     heights
    0.90
    Activations Density 0.437%

    No Known Activations