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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. 3-RES-JB
    11. 16154
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    Explanations

    specific references to focused subjects or entities within a larger context.

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -1.04
    ATURES
    -0.79
    âĿ
    -0.74
    alties
    -0.68
    Effects
    -0.66
     edits
    -0.66
     Cases
    -0.65
    reports
    -0.65
     encour
    -0.63
    ãĥ¯
    -0.62
    POSITIVE LOGITS
     dozen
    0.85
     bunch
    0.84
    versive
    0.82
     gigantic
    0.82
    usterity
    0.80
     historic
    0.78
     multitude
    0.76
     particular
    0.76
    urat
    0.74
     plethora
    0.74
    Activations Density 0.455%

    No Known Activations