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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. 22186
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    Explanations

    phrases related to economic or financial issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to economic struggles and resource 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
    picture
    -0.76
     DRAG
    -0.74
     portrait
    -0.72
     bragging
    -0.70
    ividual
    -0.68
     irony
    -0.65
    ossip
    -0.65
    _-
    -0.64
     portraits
    -0.62
    isky
    -0.61
    POSITIVE LOGITS
    available
    1.16
     depleted
    1.14
     scarce
    1.13
     unavailable
    1.10
     exhausted
    1.07
     replen
    0.99
     inadequate
    0.99
     plentiful
    0.97
     available
    0.97
    adequ
    0.91
    Activations Density 0.581%

    No Known Activations