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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. 24005
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    INDEX
    Explanations

    phrases related to challenges, threats, changes, and responses

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental challenges and adaptive responses

    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
    saf
    -0.75
    ithe
    -0.72
    Aid
    -0.68
    ware
    -0.66
     Mile
    -0.65
    Circ
    -0.65
    è£
    -0.65
    PDATED
    -0.64
    Song
    -0.64
    been
    -0.64
    POSITIVE LOGITS
     adversity
    1.14
     onslaught
    1.08
     pressures
    1.07
     encro
    0.92
     threats
    0.92
     realities
    0.91
     demands
    0.88
     advers
    0.88
     stimuli
    0.87
     challenges
    0.87
    Activations Density 0.693%

    No Known Activations