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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. 2-RES-JB
    11. 21018
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    Explanations

    mentions of the concept of progress or change occurring gradually over time

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to incremental progress and improvements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yer
    -1.01
    rigan
    -0.80
    mberg
    -0.78
    thel
    -0.76
    ILLE
    -0.64
    nery
    -0.63
    nen
    -0.63
    ocard
    -0.63
    cius
    -0.62
    gans
    -0.62
    POSITIVE LOGITS
     incremental
    1.09
     progress
    0.94
     increment
    0.89
    mental
    0.87
    aneous
    0.85
     aspir
    0.85
     effort
    0.84
    aneously
    0.82
     aspiration
    0.80
     explor
    0.78
    Activations Density 0.009%

    No Known Activations