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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. 21777
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    Explanations

    phrases related to progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    references to progress in various contexts

    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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    Negative Logits
    ENA
    -0.70
     Peninsula
    -0.68
     snap
    -0.65
     combust
    -0.65
     vivid
    -0.62
    agine
    -0.61
    pper
    -0.61
    ocular
    -0.60
     peninsula
    -0.59
     appliance
    -0.58
    POSITIVE LOGITS
    ivism
    1.53
    iveness
    1.26
    ions
    1.19
    ivity
    1.17
    ives
    1.17
    ivist
    1.16
    ively
    1.04
    ional
    1.01
    ments
    0.93
    ione
    0.91
    Activations Density 0.030%

    No Known Activations