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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. 1-RES-JB
    11. 5076
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    Explanations

    quantitative measurements or proportional relationships

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Journal
    -0.68
    ired
    -0.65
     Blog
    -0.65
     ABE
    -0.62
     Formation
    -0.61
     Trial
    -0.59
    odium
    -0.59
    ARK
    -0.58
     Watching
    -0.58
     deposition
    -0.58
    POSITIVE LOGITS
    ally
    1.11
    naire
    0.96
    ate
    0.93
     ILCS
    0.92
    istically
    0.87
    ially
    0.87
    alties
    0.87
    ality
    0.86
    ately
    0.84
    anuts
    0.82
    Activations Density 0.007%

    No Known Activations