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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. 17866
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    INDEX
    Explanations

    mentions or considerations of limitations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of limitations

    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
    DA
    -0.83
    psc
    -0.76
    ron
    -0.75
    cow
    -0.72
    Corn
    -0.71
    patch
    -0.71
    zo
    -0.69
    rex
    -0.68
    eor
    -0.67
    borne
    -0.67
    POSITIVE LOGITS
     limitations
    1.14
     limitation
    1.10
     restrictions
    0.90
     limits
    0.89
     limiting
    0.89
     constraints
    0.88
     restraints
    0.87
     loopholes
    0.83
     restricts
    0.81
     hind
    0.80
    Activations Density 0.009%

    No Known Activations