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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. 7-RES-JB
    11. 23481
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    Explanations

    phrases related to proving or demonstrating something

    oai_token-act-pair · gpt-3.5-turbo

    elements related to proof concepts and evidence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lance
    -0.74
    adelphia
    -0.72
    seek
    -0.70
    scape
    -0.65
    rouse
    -0.64
    bleacher
    -0.64
    erest
    -0.63
    otom
    -0.63
    icularly
    -0.62
     Braun
    -0.61
    POSITIVE LOGITS
     allegiance
    0.78
     existence
    0.75
     nonex
    0.74
     equival
    0.73
     authenticity
    0.70
    concept
    0.70
     innocence
    0.68
     correctness
    0.67
    empt
    0.66
     cancellation
    0.64
    Activations Density 0.050%

    No Known Activations