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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. 14694
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    Explanations

    words related to stability and consistency

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing consistency or continuity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.79
    dylib
    -0.75
    FactoryReloaded
    -0.74
    dor
    -0.72
    aucus
    -0.71
    emis
    -0.68
    ensitive
    -0.68
     Loft
    -0.67
    artments
    -0.67
    ahime
    -0.66
    POSITIVE LOGITS
     steady
    0.98
    motion
    0.92
     stream
    0.92
     pace
    0.84
     drip
    0.84
     succession
    0.81
     progression
    0.79
     flow
    0.79
     pulse
    0.78
     paycheck
    0.78
    Activations Density 0.024%

    No Known Activations