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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. 2-RES-JB
    11. 20698
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    Explanations

    terms related to being goal-oriented or having a specific focus

    oai_token-act-pair · gpt-3.5-turbo

    terms related to orientation, specifically in the context of business, document management, and various media themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aders
    -0.77
    ading
    -0.73
    ft
    -0.70
    adier
    -0.70
    isle
    -0.69
    alter
    -0.68
    Chance
    -0.68
    arthy
    -0.68
    tein
    -0.67
    ille
    -0.67
    POSITIVE LOGITS
     oriented
    1.14
    eering
    0.97
    xual
    0.96
     minded
    0.91
    oriented
    0.89
    emort
    0.89
     referen
    0.84
     entreprene
    0.84
     citiz
    0.80
     exha
    0.80
    Activations Density 0.018%

    No Known Activations