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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. 1-RES-JB
    11. 7604
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    Explanations

    phrases related to gradual progress or increase

    oai_token-act-pair · gpt-3.5-turbo

    terms 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rigan
    -0.78
     Aval
    -0.72
    opathic
    -0.71
    buster
    -0.70
     Doctors
    -0.66
    ORE
    -0.65
    yer
    -0.64
     Loki
    -0.62
     Asgard
    -0.61
     Odin
    -0.61
    POSITIVE LOGITS
     increment
    1.08
    mental
    1.08
     increments
    0.93
     incremental
    0.90
    itri
    0.89
    issance
    0.89
     Incre
    0.88
     overflow
    0.84
     progress
    0.84
    ulse
    0.84
    Activations Density 0.016%

    No Known Activations