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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. 21514
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    Explanations

    phrases related to creation or production

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with creation or production

    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
    ilty
    -0.78
    esan
    -0.69
    disabled
    -0.67
    idate
    -0.66
    FW
    -0.66
    breaker
    -0.66
    vc
    -0.65
    oyer
    -0.64
    aren
    -0.64
    oshi
    -0.63
    POSITIVE LOGITS
     innumerable
    1.24
     myriad
    1.14
     numerous
    1.10
     countless
    1.08
     continual
    1.01
     endless
    1.01
     notions
    0.99
     enormous
    0.99
     distinct
    0.97
     unpredictable
    0.95
    Activations Density 0.439%

    No Known Activations