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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. 0-RES-JB
    11. 10347
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    words related to success and progress

    oai_token-act-pair · gpt-3.5-turbo

    words related to success and achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     polyg
    -0.67
    NR
    -0.63
     bases
    -0.62
     ABS
    -0.62
     base
    -0.61
     compulsion
    -0.60
     chain
    -0.60
     factory
    -0.58
     archetype
    -0.58
     proxies
    -0.57
    POSITIVE LOGITS
    ceed
    4.22
    cess
    1.65
    gio
    1.28
    blems
    1.28
     Proceed
    1.16
    itely
    1.11
    EED
    1.10
    nces
    1.08
    mary
    1.05
    iners
    1.03
    Activations Density 0.042%

    No Known Activations