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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. 12375
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    INDEX
    Explanations

    phrases related to agricultural activities and issues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of farmers and their related issues

    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
    umbn
    -0.77
    raints
    -0.76
     RTX
    -0.72
    rawdownloadcloneembedreportprint
    -0.66
    AGES
    -0.65
     TSA
    -0.64
     Protocol
    -0.64
    ashington
    -0.64
     Socket
    -0.63
    yss
    -0.63
    POSITIVE LOGITS
     farmer
    1.02
     farmers
    1.01
     labou
    0.94
    stead
    0.93
     farms
    0.90
    folk
    0.88
     growers
    0.87
     farm
    0.87
     farming
    0.83
     graz
    0.81
    Activations Density 0.026%

    No Known Activations